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50+ Machine Learning (ML) Jobs in India

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StarApps Studio

at StarApps Studio

2 candid answers
4 products
Shubham Vats
Posted by Shubham Vats
Pune
4 - 8 yrs
₹20L - ₹40L / yr
Effective communication
Test driven development (TDD)
Best practices
Javascript
React.js
+14 more

We are building tools to help e-commerce merchants sell better. Our software powers more than 20000 e-commerce stores around the world, and we're just getting started.

 

At StarApps, we ship on quality and time. Our team deploys new code many times a week, and our production scale is massive. Your code will improve the shopping experience of more than 50 million shoppers every day – a challenging but incredibly rewarding responsibility.

 

We're looking for Senior Software Developers passionate about solving tough problems with performant code. This role is based in Pune, and ou will be closely working with the leadership team to design and ship products that are highly impactful.

 

Requirements for the role:

  • 4+ years of experience.
  • You've worked on large-scale web applications or software products.
  • High English proficiency - both written and spoken.
  • A product-minded developer who cares about the "Why" - Why build this feature? How will we measure impact?
  • A generalist (or a Full Stack developer), excited by problems, and unblocks anything that stands in the way of success.
  • A strong foundation of design, and coding principles to enable scale
  • Experience in writing automated tests as part of your development workflow (TDD)
  • Strong logical mindset and ability to break problems into simple logical steps
  • A passion for efficiency and collaboration, with a history of establishing great relationships and mentoring others in the team
  • Bonus point for previous experience working within the e-commerce industry
  • More bonus points for experience in Ruby and/or Ruby on Rails, or the desire to learn quickly


Tech stack:

  • TypeScript, React
  • Ruby on Rails, Python
  • PostgreSQL


It would be great if you have:

  • A history of contributing to the developer community through code, documentation, mentoring, teaching, speaking or organizing events
  • A passion for helping growing development teams and making others better
  • Experience building resilient and scalable services
  • Experience with development on a leading cloud provider (GCP, AWS, Azure, Aliyun, Tencent, etc.)
  • A commitment and drive for quality, excellence, and results


What we offer:

  • We care about you; therefore, you'll be offered a competitive salary.
  • Opportunities to travel and work from exquisite locations with the team.
  • We'll support your professional development however you need, whether it's with equipment, courses, books, or conferences
  • We offer one annual day off for charitable work and match the donations you make to a charity
  • Flexible holiday policy to help you plan your vacations better


We will be conducting the assessment, interview, and onboarding of new members through video calls or in-person meets. We would like you to join ASAP and would like you to relocate close to our office in Pune.


Want to learn more about the company?

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Accrete

at Accrete

2 candid answers
1 video
Agency job
Mumbai
5 - 10 yrs
₹50L - ₹70L / yr
Python
Docker
Machine Learning (ML)
Kubernetes

Responsibilities:

  • Collaborating with data scientists and machine learning engineers to understand their requirements and design scalable, reliable, and efficient machine learning platform solutions.
  • Building and maintaining the applications and infrastructure to support end-to-end machine learning workflows, including inference and continual training.
  • Developing systems for the definition deployment and operation of the different phases of the machine learning and data life cycles.
  • Working within Kubernetes to orchestrate and manage containers, ensuring high availability and fault tolerance of applications.
  • Documenting the platform's best practices, guidelines, and standard operating procedures and contributing to knowledge sharing within the team.


Requirements:

  • 3+ years of hands-on experience in developing and managing machine learning or data platforms
  • Proficiency in programming languages commonly used in machine learning and data applications such as Python, Rust, Bash, Go
  • Experience with containerization technologies, such as Docker, and container orchestration platforms like Kubernetes.
  • Familiarity with CI/CD pipelines for automated model training and deployment. Basic understanding of DevOps principles and practices.
  • Knowledge of data storage solutions and database technologies commonly used in machine learning and data workflows.
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Mumbai
3 - 9 yrs
₹30L - ₹40L / yr
Machine Learning (ML)
Natural Language Processing (NLP)
Deep Learning
Data Science
Computer Vision
+4 more

Responsibilities


  • Work on execution and scheduling of all tasks related to assigned projects' deliverable dates
  • Optimize and debug existing codes to make them scalable and improve performance
  • Design, development, and delivery of tested code and machine learning models into production environments
  • Work effectively in teams, managing and leading teams
  • Provide effective, constructive feedback to the delivery leader
  • Manage client expectations and work with an agile mindset with machine learning and AI technology
  • Design and prototype data-driven solutions

Eligibility


  • Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications
  • Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)
  • In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)
  • Expertise in writing scalable APIs for machine learning models
  • Experience with maintaining code logs, task schedulers, and security
  • Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning
  • Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch
Read more
Tellius

at Tellius

1 video
1 product
Reshika Mendiratta
Posted by Reshika Mendiratta
Bengaluru (Bangalore)
5yrs+
Upto ₹50L / yr (Varies
)
Product Management
Data Analytics
Business Intelligence (BI)
Product Lifecycle Management (PLM)
Tableau
+9 more

Lightning Job By Cutshort⚡

 

As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered)


About us:

Tellius enables organizations to get faster insights from their data using AI-powered automation. Any user can ask any question across billions of records via a Google-like interface, understand “why” metrics change via automated insights that surface hidden key drivers and trends, and get predictive recommendations — in a self-service manner. Unlike traditional BI tools, Tellius excels at ad hoc and exploratory data analysis, root-cause/trend insights and anomaly detection, and business-friendly advanced analytics.


About the role:


Note: We need expertise in one of the toolsTableau, Qlik, Power BI, Thoughtspot, Sigma Computing, SiSense, Looker, Alteryx, Dataiku, DataRobot, Trifacta, Alation, Incorta, Zoomdata, OBIEE, Birst, GoodData, Cognos, Business Objects

 

Come and be a core part of a rapidly growing startup in the Analytics / Business Intelligence domain.

 

We’re looking for a Senior Product Manager to help build the Tellius Analytics Platform as we scale it to the next phase. This is an individual contributor, hands-on role that requires strong technical acumen, deep analytics/business intelligence knowledge, and sharp product management skills along with a can-do attitude to build the best possible experience for our customers. Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement.

 

Your Impact

  • Manage products from inception to launch based on industry experience, market research, competitive analysis and feedback from customers and prospects.
  • Work with engineering, marketing, and sales to define product release requirements, help understand the competitive landscape, product positioning, target customer use cases and markets, and define the go-to-market strategy.
  • Develop product strategy and prioritize features.
  • Gather product requirements from customers and the internal field teams.
  • Write detailed and agile product requirements and ensure clear communication of those requirements to all stakeholders including management, engineering, design, and documentation teams.
  • Assist engineering teams in determining the best technical implementation methods.
  • Work very closely with development leads to plan, prioritize and track features and releases.
  • Collect customer feedback for product improvements.
  • Present product roadmap, released features and demos to customers, analysts, and internally to other groups.
  • Internal and external evangelism of the product through blogs, social media platforms, and industry conferences.

 

What you need

  • 5 years of in-depth experience within the Analytics / Business intelligence (BI) domain with a strong understanding of the industry, market and competitive landscape.
  • 3 years of experience in Product Management and/or, Sales Engineering roles with a complex B2B SaaS product.
  • Deep understanding of Tableau, Qlik, Power BI, SiSense, Looker, Zoomdata, Thoughtspot, OBIEE, Birst, GoodData, Cognos, Business Objects, DataRobot, H2O.ai, Dataiku, Trifacta, Alteryx or similar tools.
  • Experience across the product management lifecycle for enterprise SaaS products.
  • Strong UX and design thinking skills.
  • Data-driven approach to decision making.
  • Working knowledge of agile development methodologies.
  • Comfortable presenting in one-on-one customer settings as well in front of 100+ people.
  • Very strong written and oral communication skills and polished presentation skills.
  • Flexibility and willingness to step outside of traditional roles as needed in a fast-paced startup environment.
  • Team player with a can-do attitude.
  • Bachelor’s degree in Computer Science, Mathematics, Statistics and/or related field.

 

Wouldn’t hurt to bring along

  • Experience with AI, predictive analytics and machine learning landscape is a huge plus.
  • Working/Hands-on knowledge of SQL, Python, HTML, JavaScript, R, Spark, etc.
  • Master’s in Computer Science and/or MBA degree.

 

Tellius offers very competitive compensation packages commensurate with your experience. We offer full Health Benefits, Vision, Dental, Vacation, equity, continual career & compensation growth, and many other perks.

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Bengaluru (Bangalore)
6 - 12 yrs
₹25L - ₹35L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Deep Learning
+4 more


• 6+ years of data science experience.

• Demonstrated experience in leading programs.

• Prior experience in customer data platforms/finance domain is a plus.

• Demonstrated ability in developing and deploying data-driven products.

• Experience of working with large datasets and developing scalable algorithms.

• Hands-on experience of working with tech, product, and operation teams.


Technical Skills:

• Deep understanding and hands-on experience of Machine learning and Deep

learning algorithms. Good understanding of NLP and LLM concepts and fair

experience in developing NLU and NLG solutions.

• Experience with Keras/TensorFlow/PyTorch deep learning frameworks.

• Proficient in scripting languages (Python/Shell), SQL.

• Good knowledge of Statistics.

• Experience with big data, cloud, and MLOps.

Soft Skills:

• Strong analytical and problem-solving skills.

• Excellent presentation and communication skills.

• Ability to work independently and deal with ambiguity.

Continuous Learning:

• Stay up to date with emerging technologies.


Qualification.


A degree in Computer Science, Statistics, Applied Mathematics, Machine Learning, or any related field / B. Tech.



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Sunflower Lab

at Sunflower Lab

1 video
2 recruiters
Megha Desai
Posted by Megha Desai
Vadodara
4 - 8 yrs
₹12L - ₹25L / yr
Artificial Intelligence (AI)
Machine Learning (ML)
Natural Language Processing (NLP)
Python
PyTorch
+2 more

Responsibilities:


  • Able to collaborate with data scientists to develop and fine-tune machine learning models, including but not limited to deep learning, natural language processing, computer vision, and reinforcement learning.
  • Able to clean, preprocess, and transform data into a format suitable for training and evaluation of machine learning models. Implement data augmentation and feature engineering techniques when necessary.
  • Able to train, validate, and optimize machine learning models using relevant frameworks and libraries. Tune hyperparameters and experiment with different architectures to improve model performance.
  • Able to deploy machine learning models into production environments, ensuring scalability, re-liability, and performance. Integrate models into applications, APIs, or microservices as needed. 
  • Able to find the best possible and cost-effective solution for clients. 
  • Able to stay up to date with the latest advancements in AI and ML technologies. Experiment with new algorithms and techniques to enhance the capabilities of our AI/ML systems.


Requirements:


  • Overall 5+ Years of experience in developing and deploying machine learning models and algorithms.
  • Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar.
  • Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) for model deployment.
  • Excellent problem-solving skills and a passion for working on challenging AI/ML problems.
  • Effective communication skills and the ability to work in a collaborative team environment.
  • Experience with version control systems (e.g., Git) is a plus.
  • Experience with Data Engineering, and Azure service is plus


Read more
Rivendell Technologies Inc
Michelle Inovejas
Posted by Michelle Inovejas
Remote only
0 - 8 yrs
$0.5K - $8K / yr
Machine Learning (ML)

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.


*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84


Responsibilities:

  1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
  2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
  3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
  4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
  5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
  6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
  7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
  8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
  9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
  10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
  11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
  12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

  1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
  2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
  3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
  4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
  5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
  6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
  7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
  8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.


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Fintech lead,
Agency job
via The Hub by Sridevi Viswanathan
Gurugram, Noida
3 - 8 yrs
₹5L - ₹15L / yr
Natural Language Processing (NLP)
BERT
Machine Learning (ML)
Data Science
Python
+1 more

Who we are looking for

· A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

· Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.

· Mentor and coach other team members

· Evaluate the performance of NLP models and ideate on how they can be improved

· Support internal and external NLP-facing APIs

· Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

·       Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioural Skills

· Strong analytical and problem-solving capabilities.

· Proven ability to multi-task and deliver results within tight time frames

· Must have strong verbal and written communication skills

· Strong listening skills and eagerness to learn

· Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

Hands-on experience with

· NLP

· Deep Learning

· Machine Learning

· Python

· Bert

Preferred Requirements

· Experience in Computer Vision is preferred

Role: Data Scientist

Industry Type: Banking

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Read more
RAPTORX.AI

at RAPTORX.AI

2 candid answers
Pratyusha Vemuri
Posted by Pratyusha Vemuri
Hyderabad
3 - 6 yrs
₹5L - ₹15L / yr
Fraud
Data Science
Machine Learning (ML)

Data engineers:


Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Constructing infrastructure for efficient ETL processes from various sources and storage systems.

Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.

Leading the implementation of algorithms and prototypes to transform raw data into useful information.

Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.

Creating innovative data validation methods and data analysis tools.

Ensuring compliance with data governance and security policies.

Interpreting data trends and patterns to establish operational alerts.

Developing analytical tools, utilities, and reporting mechanisms.

Conducting complex data analysis and presenting results effectively.

Preparing data for prescriptive and predictive modeling.

Continuously exploring opportunities to enhance data quality and reliability.

Applying strong programming and problem-solving skills to develop scalable solutions.

Writes unit/integration tests, contributes towards documentation work


Must have ....


6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.

Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases like MySQL, Redshift.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data pipelines.


Good to Have:


Passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with teams scattered geographically.

Read more
RAPTORX.AI

at RAPTORX.AI

2 candid answers
Pratyusha Vemuri
Posted by Pratyusha Vemuri
Hyderabad
5 - 7 yrs
₹10L - ₹25L / yr
NodeJS (Node.js)
React.js
Data Visualization
Graph Databases
Neo4J
+2 more

Role Overview

We are looking for a Tech Lead with a strong background in fintech, especially with experience or a strong interest in fraud prevention and Anti-Money Laundering (AML) technologies. 

This role is critical in leading our fintech product development, ensuring the integration of robust security measures, and guiding our team in Hyderabad towards delivering high-quality, secure, and compliant software solutions.

Responsibilities

  • Lead the development of fintech solutions, focusing on fraud prevention and AML, using Typescript, ReactJs, Python, and SQL databases.
  • Architect and deploy secure, scalable applications on AWS or Azure, adhering to the best practices in financial security and data protection.
  • Design and manage databases with an emphasis on security, integrity, and performance, ensuring compliance with fintech regulatory standards.
  • Guide and mentor the development team, promoting a culture of excellence, innovation, and continuous learning in the fintech space.
  • Collaborate with stakeholders across the company, including product management, design, and QA, to ensure project alignment with business goals and regulatory requirements.
  • Keep abreast of the latest trends and technologies in fintech, fraud prevention, and AML, applying this knowledge to drive the company's objectives.

Requirements

  • 5-7 years of experience in software development, with a focus on fintech solutions and a strong understanding of fraud prevention and AML strategies.
  • Expertise in Typescript, ReactJs, and familiarity with Python.
  • Proven experience with SQL databases and cloud services (AWS or Azure), with certifications in these areas being a plus.
  • Demonstrated ability to design and implement secure, high-performance software architectures in the fintech domain.
  • Exceptional leadership and communication skills, with the ability to inspire and lead a team towards achieving excellence.
  • A bachelor's degree in Computer Science, Engineering, or a related field, with additional certifications in fintech, security, or compliance being highly regarded.

Why Join Us?

  • Opportunity to be at the cutting edge of fintech innovation, particularly in fraud prevention and AML.
  • Contribute to a company with ambitious goals to revolutionize software development and make a historical impact.
  • Be part of a visionary team dedicated to creating a lasting legacy in the tech industry.
  • Work in an environment that values innovation, leadership, and the long-term success of its employees.


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Sizzle

at Sizzle

1 recruiter
Vijay Koduri
Posted by Vijay Koduri
Bengaluru (Bangalore)
3 - 7 yrs
₹10L - ₹15L / yr
Python
API
FAST API
SQLAlchemy
PostgreSQL
+8 more

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus. If you are a gamer or streamer, or enjoy watching video games and streams, that is also definitely a plus :-)


You will be responsible for:

  • Building Python scripts to deploy our AI components into pipeline and production
  • Developing logic to ensure multiple different AI components work together seamlessly through a microservices architecture
  • Managing our daily pipeline on both on-premise servers and AWS
  • Working closely with the AI engineering, backend and frontend teams


You should have the following qualities:

  • Deep expertise in Python including:
  • Multiprocessing / multithreaded applications
  • Class-based inheritance and modules
  • DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
  • Understanding Python performance bottlenecks, and how to profile and improve the performance of production code including:
  • Optimal multithreading / multiprocessing strategies
  • Memory bottlenecks and other bottlenecks encountered with large datasets and use of numpy / opencv / image processing
  • Experience in creating soft real-time processing tasks is a plus
  • Expertise in Docker-based virtualization including:
  • Creating & maintaining custom Docker images
  • Deployment of Docker images on cloud and on-premise services
  • Experience with maintaining cloud applications in AWS environments
  • Experience in deploying machine learning algorithms into production (e.g. PyTorch, tensorflow, opencv, etc) is a plus
  • Experience with image processing in python is a plus (e.g. openCV, Pillow, etc)
  • Experience with running Nvidia GPU / CUDA-based tasks is a plus (Nvidia Triton, MLFlow)
  • Knowledge of video file formats (mp4, mov, avi, etc.), encoding, compression, and using ffmpeg to perform common video processing tasks is a plus.
  • Excited about working in a fast-changing startup environment
  • Willingness to learn rapidly on the job, try different things, and deliver results
  • Ideally a gamer or someone interested in watching gaming content online


Seniority: We are looking for a mid to senior level engineer


Salary: Will be commensurate with experience. 


Who Should Apply:

If you have the right experience, regardless of your seniority, please apply.

Work Experience:  4 years to 8 years


About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with thousands of gaming streamers to automatically create highlights and social content for them. Sizzle is available at www.sizzle.gg. 



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HighLevel Inc.

at HighLevel Inc.

1 video
31 recruiters
Manish Pandey
Posted by Manish Pandey
Remote only
3 - 6 yrs
Best in industry
Artificial Intelligence (AI)
Machine Learning (ML)
SaaS
Product Management
Stakeholder management
+2 more

About HighLevel

Founded in 2018, HighLevel LLC (www.gohighlevel.com) is a two-tier B2B SaaS Platform focused on Marketing Agencies. We aspire to be a one-stop solution for marketing agencies. We enable agencies to serve their clients with ease using the best cutting-edge tools in the industry. Our clientele includes digital marketing agencies, Ads agencies, SEO agencies, Call centre / Sales agencies, and freelancers. We operate across niches like real estate, dental & medical, local businesses, e-commerce, professional services, and field services. 

Our platform comprises various product areas including CRM, funnel builder, website builder, forms & surveys, WordPress hosting, email marketing, telephony, reviews management, Omni-box communications, social media, invoicing & payments to name a few. We currently service over 51,000+ agencies and 400,000+ small & medium businesses with a 900+ strong team that works remotely across 20+ nations. We encourage you to check out our YouTube channel to learn more about our platform


https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g 


About the role

HighLevel Inc is actively seeking a dynamic Product Manager to spearhead Support operations and AI products within our team. In this influential role, you'll be at the forefront, identifying opportunities, conducting proof of concepts, shaping user experiences, and crafting innovative solutions. 

Collaborating closely with diverse teams, including engineers, marketers, support agents, and customer success, you will play a pivotal role in defining, prioritizing, and bringing to fruition groundbreaking solutions. Your efforts will not only contribute to keeping HighLevel's support costs in check but also ensure utmost customer satisfaction.

As the Product Manager for Support AI, your key objectives are to:

  • Leverage AI/ML methodologies to intelligently respond to customer support queries.
  • Facilitate the support team by addressing product and technical requirements
  • Identify and implement effective strategies and processes to:
  • Improve the accuracy of the AI responses to suit the user inquiries
  • Reduce escalations to human support agent
  • Establish a robust knowledge base for the platform
  • Productize the support AI bot to be deployed for our parent accounts

This role offers a unique opportunity to drive innovation, optimize support operations, and enhance customer interactions through the strategic application of AI. Join us at HighLevel Inc. and be a vital part of reshaping the future of our support landscape.


Type - Full Time (Remote in India)


Your roles & responsibilities:


Strategy & Vision:

  • Establish the strategic direction and vision for the product features.
  • Make informed decisions about product roadmaps based on market trends, customer needs, and competitive landscape.


Product Planning and Roadmap:

  • Collaborate with stakeholders to identify and prioritize requirements and feature enhancements.
  • Collaborate with the support team to identify their needs and current challenges, which would feed forward into the Product planning process.
  • Develop and maintain a detailed product roadmap for Support AI, aligning it with the company's overall product strategy and goals.


Requirements Definition:

  • Conduct user research, interviews, and data analysis to gather insights and identify pain points.
  • Translate user needs into clear and actionable product requirements, user stories, and acceptance criteria.


Product Development and Launch:

  • Collaborate with engineering, design, and support teams to ensure timely and high-quality product delivery.
  • Plan and execute product launches, including creating go-to-market strategies, coordinating marketing efforts, and driving user adoption and engagement.


Stakeholder Communication:

  • Communicate product plans, progress, and updates to internal teams and stakeholders, including executives.
  • Act as a subject matter expert on Support AI and Best Practices, providing guidance and support to internal teams and external customers.


Performance Monitoring and Analysis:

  • Define and track key product metrics to evaluate product performance and drive data-driven decision-making.
  • Monitor user feedback and conduct a competitive analysis to identify areas for improvement and address pain points.


What we’re looking for;


  1. Domain Knowledge: Strong understanding of AI, Knowledge Base & SaaS concepts, technologies, and market trends.
  2. Analytical Skills: Excellent analytical and problem-solving skills. Ability to use data and metrics to drive product decisions and measure product success.
  3. Communication Skills: Excellent written and verbal communication skills, with the ability to effectively communicate complex ideas and concepts to both technical and non-technical stakeholders.
  4. Leadership and Collaboration: Strong leadership skills to drive the product vision, influence cross-functional teams, and work collaboratively in a fast-paced, agile environment.
  5. User-Centric Mindset: Deep empathy for users and a strong passion for delivering exceptional user experiences.
  6. Business Acumen: Understanding business models, market dynamics, and competitive landscape. Ability to align product decisions with business goals and drive product success.


Experience;

  • Minimum 3+ years as a Product Manager, with a strong preference for AI, Support & SaaS experience.
  • Bachelor's degree in computer science, engineering, business, or a related discipline.
  • Familiarity with leading AI technologies and how SaaS support works



Why should you join us?


At HighLevel, we foster an exciting and dynamic work environment driven by a passionate team. We believe in a collective responsibility where no task is considered someone else's job. Our


unwavering focus is on providing value to our users, and we achieve this by delivering solutions swiftly through lean principles, allowing us to bring products to market in a matter of weeks rather than quarters. Every good idea is put to the test, ensuring that we maintain a high standard of innovation. We prioritize the well-being of our team, recognizing that by taking care of them, they can better serve our users. We embrace the concept of continuous and iterative improvement, understanding that progress is an ongoing journey. We are also a well funded & profitable company.


Join us at High Level, and you will have the opportunity to learn the intricacies of scaling a B2B SaaS startup and develop impactful products that cater to the needs of our customers.

Read more
Tiger Analytics
Chennai, Bengaluru (Bangalore)
4 - 8 yrs
₹6L - ₹20L / yr
Machine Learning (ML)
Neural networks
Computer Vision
Deep Learning
Responsibilities:
• Charting learning journeys with knowledge graphs.
• Predicting memory decay based upon an advanced cognitive model.
• Ensure content quality via study behavior anomaly detection.
• Recommend tags using NLP for complex knowledge.
• Auto-associate concept maps from loosely structured data.
• Predict knowledge mastery.
• Search query personalization.
Requirements:
• 6+ years experience in AI/ML with end-to-end implementation.
• Excellent communication and interpersonal skills.
• Expertise in SageMaker, TensorFlow, MXNet, or equivalent.
• Expertise with databases (e. g. NoSQL, Graph).
• Expertise with backend engineering (e. g. AWS Lambda, Node.js ).
• Passionate about solving problems in education
Read more
CodeCraft Technologies Private Limited
Chandana B
Posted by Chandana B
Bengaluru (Bangalore), Mangalore
6 - 15 yrs
Best in industry
Data Science
Machine Learning (ML)
Python
Artificial Intelligence (AI)

CodeCraft Technologies is an award-winning creative engineering company where highly skilled designers and engineers work closely and bring to life, user-focused solutions.


Proven design & development methodologies are leveraged, and the latest technologies are explored, to deliver best-in-class mobile and web solutions. Our success is built on a team of talented and motivated individuals who drive excellence in everything they do. We are seeking a highly skilled and experienced Lead Data Scientist to join our growing team.


Responsibilities:

● Work with stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions.

● Develop custom data models and algorithms to apply to data sets.

● Use predictive modeling to increase and optimize the business process and solutions

● Research and development of AI algorithms and their applicability in business-related problems to build intelligent systems.

● Build a Solid Data Science Team: Provide strategic direction for the data science team. Lead, mentor, and inspire a team of data scientists, fostering a culture of collaboration and continuous learning.

● Explore the latest technologies in the Data science domain and develop POCs.

● Establish a Technology Partnership with the leading technology providers in the AI/ML space.

● MLOps – Deploy ML solutions to the cloud.

● Collaborate with the content team to produce Tech blogs, case studies, etc.,


Required Skill Set:

● Strong foundational knowledge of data science concepts, machine learning algorithms, and programming skills in Python (and/or R).

● Expertise in Generative AI (GenAI), Large Language Models (LLM), Natural Language Processing (NLP), image processing and/or video analytics

● Proven track record of supporting global clients or internal stakeholders in data science projects.

● Experience in data analytics, descriptive analytics and predictive analytics

● Experience using AI/ML tools available from cloud service providers like AWS/AZURE/GCP including TensorFlow, SageMaker, and Azure ML

● Experience in deploying solutions to the cloud [AWS/Azure/GCP]

● Experience with Data Visualization tools like PowerBI, Tableau

● Proficient in SQL and other database technologies.

● Good understanding of the latest research and technologies in AI.

● Experience working across multiple geographic borders and time zones

● Outstanding communication and presentation skills


Education:

● Graduation/Post-graduation in Computers/Engineering/Statistics from a reputed institute

Read more
PGP Glass Pvt Ltd
Animesh Srivastava
Posted by Animesh Srivastava
Vadodara
1 - 4 yrs
₹6L - ₹13L / yr
Data modeling
Machine Learning (ML)

Key Roles/Responsibilities: –

• Develop an understanding of business obstacles, create

• solutions based on advanced analytics and draw implications for

• model development

• Combine, explore and draw insights from data. Often large and

• complex data assets from different parts of the business.

• Design and build explorative, predictive- or prescriptive

• models, utilizing optimization, simulation and machine learning

• techniques

• Prototype and pilot new solutions and be a part of the aim

• of ‘productifying’ those valuable solutions that can have impact at a

• global scale

• Guides and coaches other chapter colleagues to help solve

• data/technical problems at an operational level, and in

• methodologies to help improve development processes

• Identifies and interprets trends and patterns in complex data sets to

• enable the business to take data-driven decisions

Read more
Fintech company in chennai
Agency job
via The Hub by Sridevi Viswanathan
Tamilnadu, kerala, Indore, Jaipur
3 - 7 yrs
₹20L - ₹30L / yr
Data Science
Machine Learning (ML)
BERT
Natural Language Processing (NLP)

We are looking for


A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.


Roles and Responsibilities


Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.


Mentor and coach other team members


Evaluate the performance of NLP models and ideate on how they can be improved


Support internal and external NLP-facing APIs


Keep up to date on current research around NLP, Machine Learning and Deep Learning


Mandatory Requirements


Any graduation with at least 2 years of demonstrated experience as a Data Scientist.


Behavioral Skills


Strong analytical and problem-solving capabilities.


Proven ability to multi-task and deliver results within tight time frames


Must have strong verbal and written communication skills


Strong listening skills and eagerness to learn


Strong attention to detail and the ability to work efficiently in a team as well as individually


Hands-on experience with


NLP


Deep Learning


Machine Learning


Python


Bert

Read more
Pixel web solutions

at Pixel web solutions

3 recruiters
Karthiga Devi
Posted by Karthiga Devi
Madurai
4 - 10 yrs
₹4.8L - ₹12L / yr
Java
Object Oriented Programming (OOPs)
C
C++
Python
+3 more

Dear Job Seekers,


Greetings from PIXEL WEB SOLUTIONS....!!! 


Job Title: IT Trainer/ Software Trainer


Company: PIXEL WEB SOLUTIONS


Location: Madurai


Job Type: [Full-time]


Contact: 80-72-58-13-90


About Us:

Pixel Web Solutions is a leading player in the software sector, specializing in web development, mobile apps, Blockchain development, Digital Marketing etc. We are seeking an experienced and enthusiastic IT Trainer to join our team and help us empower our employees with the knowledge and skills required to excel in their roles.


Job Description:

As an IT Trainer at Pixel Web Solutions, you will play a crucial role in enhancing the technical competencies of our employees. You will be responsible for designing, delivering, and evaluating training programs that align with our business objectives. Your expertise and guidance will contribute to the growth and success of our team members.


Key Responsibilities:


1) Training Program Development: Design and develop training programs, workshops, and materials focused on IT skills and competencies relevant to our industry.


2) Technical Training: Provide training in various IT domains, such as software development, programming languages, database management, cybersecurity, or other relevant areas, depending on company needs.


3) Hands-On Workshops: Conduct hands-on workshops and practical exercises to reinforce theoretical knowledge with practical skills.


4) Customized Training: Tailor training programs to meet the specific needs of different teams or individuals within the organization.


5) Evaluation: Assess the effectiveness of training programs through evaluations, feedback, and continuous improvement efforts.


6) Keep Current: Stay up-to-date with the latest trends, technologies, and advancements in the IT industry to ensure training materials remain relevant.


7) Documentation: Maintain comprehensive training documentation, including training schedules, course content, and attendance records.


8) Support and Guidance: Provide ongoing support and guidance to employees, including answering technical questions and troubleshooting issues.


9) Collaboration: Collaborate with department heads and managers to identify training needs and align training initiatives with organizational goals.


Qualifications:


*Experience: 4+ Years

*Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree preferred).

*Proven experience as an IT Trainer or similar role in the software sector.

*In-depth knowledge of IT concepts, technologies, and tools relevant to the software industry.

*Strong presentation and communication skills.

Proficiency in designing and delivering training materials.

*Ability to adapt training content to varying skill levels.

*Demonstrated passion for continuous learning and staying current in the IT field.


Benefits:

1) Competitive salary

2) Professional development opportunities

3) Collaborative and innovative work environment

4) Paid time off and holidays



                 Pixel Web Solutions is an equal opportunity employer, and we welcome applicants from diverse backgrounds to apply.


Join us in shaping the future of our organization by equipping our employees with the knowledge and skills they need to excel in the dynamic and fast-paced world of IT. If you are passionate about IT training and eager to contribute to our team's success, we look forward to receiving your application.  

Read more
Codemonk

at Codemonk

2 recruiters
TA Codemonk
Posted by TA Codemonk
Remote only
3 - 5 yrs
₹7L - ₹15L / yr
Amazon Web Services (AWS)
Python
Machine Learning (ML)
Django
Flask
+2 more

Title:

Software Engineer – Backend (Python)

About the Role:

Our team is responsible for building the backend components of the MLOps platform on AWS.

The backend components we build are the fundamental blocks for feature engineering, feature serving, model deployment and model inference in both batch and online modes.

What you’ll do here

• Design & build backend components of our MLOps platform on AWS.

• Collaborate with geographically distributed cross-functional teams.

• Participate in on-call rotation with the rest of the team to handle production incidents.

What you’ll need to succeed

Must have skills:

• At least 3+ years of professional backend web development experience with Python.

• Experience with web development frameworks such as Flask, Django or FastAPI.

• Experience working with WSGI & ASGI web servers such as Gunicorn, Uvicorn etc.

• Experience with concurrent programming designs such as AsyncIO.

• Experience with unit and functional testing frameworks.

• Experience with any of the public cloud platforms like AWS, Azure, GCP, preferably AWS.

• Experience with CI/CD practices, tools, and frameworks.

Nice to have skills:


• Experience with MLOps plaBorms such as AWS Sagemaker, Kubeflow or MLflow.

• Experience with big data processing frameworks, preferably Apache Spark.

• Experience with containers (Docker) and container platforms like AWS ECS or AWS EKS.

• Experience with DevOps & IaC tools such as Terraform, Jenkins etc.

• Experience with various Python packaging options such as Wheel, PEX or Conda.

Read more
AdElement

at AdElement

2 recruiters
Sachin Bhatevara
Posted by Sachin Bhatevara
Pune
3 - 7 yrs
₹25L - ₹40L / yr
Machine Learning (ML)
Data Science
Artificial Intelligence (AI)
Neural networks
PyTorch
+2 more

Data driven decision-making is core to advertising technology at AdElement. We are looking for sharp, disciplined, and highly quantitative machine learning/ artificial intellignce engineers with big data experience and a passion for digital marketing to help drive informed decision-making. You will work with top-talent and cutting edge technology and have a unique opportunity to turn your insights into products influencing billions. The potential candidate will have an extensive background in distributed training frameworks, will have experience to deploy related machine learning models end to end, and will have some experience in data-driven decision making of machine learning infrastructure enhancement. This is your chance to leave your legacy and be part of a highly successful and growing company.


Required Skills

- 3+ years of industry experience with Java/ Python in a programming intensive role

- 3+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, graph mining, deep learning

- 3+ years of industry experience with distributed computing frameworks such as Hadoop/Spark, Kubernetes ecosystem, etc

- 3+ years of industry experience with popular deep learning frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, etc

- 3+ years of industry experience with major cloud computing services

- An effective communicator with the ability to explain technical concepts to a non-technical audience

- (Preferred) Prior experience with ads product development (e.g., DSP/ad-exchange/SSP)

- Able to lead a small team of AI/ML Engineers to achieve business objectives



Responsibilities

- Collaborate across multiple teams - Data Science, Operations & Engineering on unique machine learning system challenges at scale

- Leverage distributed training systems to build scalable machine learning pipelines including ETL, model training and deployments in Real-Time Bidding space. 

- Design and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization, model training/inference latency and system-level bottlenecks  

- Research state-of-the-art machine learning infrastructures to improve data healthiness, model quality and state management during the lifecycle of ML models refresh.

- Optimize integration between popular machine learning libraries and cloud ML and data processing frameworks. 

- Build Deep Learning models and algorithms with optimal parallelism and performance on CPUs/ GPUs.

- Work with top management on defining teams goals and objectives.


Education

- MTech or Ph.D. in Computer Science, Software Engineering, Mathematics or related fields

Read more
Fintech lead,
Agency job
via The Hub by Sridevi Viswanathan
Chennai
4 - 7 yrs
₹15L - ₹35L / yr
BERT
Machine Learning (ML)
Natural Language Processing (NLP)
Data Science
Python
  • A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

 

  • Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
  • Mentor and coach other team members
  • Evaluate the performance of NLP models and ideate on how they can be improved
  • Support internal and external NLP-facing APIs
  • Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

 

  • Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioral Skills

 

Strong analytical and problem-solving capabilities.

  • Proven ability to multi-task and deliver results within tight time frames
  • Must have strong verbal and written communication skills
  • Strong listening skills and eagerness to learn
  • Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

 

Hands-on experience with

 

  • NLP
  • Deep Learning
  • Machine Learning
  • Python
  • Bert

Preferred Requirements

  • Experience in Computer Vision is preferred
Read more
Multiverse Computing

at Multiverse Computing

2 candid answers
1 video
Praveen Kumar
Posted by Praveen Kumar
Remote, San Sebastian
3 - 10 yrs
₹20L - ₹40L / yr
Quantum Computing
Quantum Engineering
Qiskit
Pennylane
Quantum Physics
+6 more

This positions is based in San Sebastián Spain

Multiverse is a well-funded deep-tech company. We are one of the few companies working with Quantum Computing. We provide hyper-efficient software to companies wanting to gain an edge with quantum computing and artificial intelligence. We work on finance, energy, manufacturing, cybersecurity and many more industries. You will be working alongside world leading experts to build solutions that tackle real life issues.We are proud to grow on an ethics driven environment, promoting sustainability and diversity. We aim to continue building our truly inclusive culture - come and join us!

 

 

As a Quantum Computing Engineer, you will

  • Join a world-class team of Quantum experts with an extensive track record in both academia and industry.
  • Work with Fortune-500 customers from government and private sectors.
  • Collaborate with the founding team in a fast paced startup environment.
  • Contribute to designing and improving Multiverse’s codebase.
  • Design and implement new quantum algorithms.

 

Required Qualifications

  • 3 years experience in similar positions.
  • Masters degree in Quantum Physics, Quantum Engineering, or related field.
  • Knowledge of quantum computing algorithms, particularly gate model and hybrid techniques.
  • Advanced knowledge of Python and related scientific computing tools.
  • Experience with quantum computing SDKs (Qiskit, Pennylane, or others).
  • Ability to work with a diverse team of people, both in-person and through online resources.
  • Perfect command of English language

 

Preferred Qualifications

  • PhD in Quantum Physics, Computer Science, or related field.
  • Industry experience.
  • Experience using git, unit testing, and docker.

 

Exceptional Qualifications

  • Experience with error mitigation techniques and tools.
  • Ability to write patent applications.
  • Ability to write grant proposals.

 

Perks & Benefits

● Potential to grow into long-term opportunities.

● Working in a high paced environment, working on cutting edge technologies.

● Opportunity to learn and teach.

● A mix of remote and office work – A minimum of 3 days office work is required.

● Relocation package (minimum distance apply).

● Private health insurance.

● Progressive Company. Happy people culture.

● Competitive salary.

Read more
Convegenius
Gayatri Bora
Posted by Gayatri Bora
Noida, Delhi, Gurugram, Ghaziabad, Faridabad
2 - 4 yrs
₹8L - ₹18L / yr
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision

About the Company:

ConveGenius is a leading Conversational AI company that is democratising educational and knowledge services for the mass market. Their knowledge bots have 35M users today. ConveGenius is building an omniverse on Conversational AI for the developer ecosystem to build together. We are looking for self-driven individuals who love to find innovative solutions and can perform under pressure. An eye for detail and being proud of produced code is the must-have attributes for this job.


About the role: 


At ConveGenius, we are committed to creating an inclusive and collaborative work environment that fosters creativity and innovation. Join our AI Team as Senior AI Engineer with the focus on development of cutting-edge technologies, making a real life difference in the lives of millions of users. You will be involved in a wide range of projects, from designing and building AI capabilities for our swiftchat platform, and analysing large conversation datasets. Innovative nature and proactive involvement in the product is taken very seriously at Convegenius, therefore, a major part of your role would involve thinking about new features and new ways to deliver quality learning experience to our learners.


Responsibilities:

  • Develop and implement state-of-the-art NLP, Computer Vision, Speech techniques.
  • Collaborate with other AI researchers to develop innovative AI solutions and services to be used to improve our platform capabilities.
  • Mentor and lead the experiments with other team members.
  • Conduct research and experiments in deep learning, machine learning, and related fields to support the development of AI techniques.

Qualifications:

  • Bachelor's or master's degree in Computer Science, Engineering, or a related field with experience in machine learning and data analysis.
  • 2-4 years of industry experience in machine learning, with a strong focus on NLP and Computer Vision.
  • Hands-on experience of ML model development and deploying.
  • Experience working with training and fine-tuning LLM is a plus.
  • Experience in audio/speech technologies is a plus.
  • Strong programming skills in Python, node.js or other relevant programming languages.
  • Familiarity with machine learning libraries, such as TensorFlow, Keras, PyTorch, scikit-learn, Conversational frameworks like Rasa, DialogFlow, Lex, etc.
  • Strong analytical and problem-solving skills, with the ability to think out of the box.
  • Self-starter with the ability to work independently and in a team environment.


Read more
Remote only
5 - 8 yrs
₹10L - ₹15L / yr
Vue.js
AngularJS (1.x)
Angular (2+)
React.js
Javascript
+6 more

In this position, you will play a pivotal role in collaborating with our CFO, CTO, and our dedicated technical team to craft and develop cutting-edge AI-based products.


Role and Responsibilities:


- Develop and maintain Python-based software applications.

- Design and work with databases using SQL.

- Use Django, Streamlit, and front-end frameworks like Node.js and Svelte for web development.

- Create interactive data visualizations with charting libraries.

- Collaborate on scalable architecture and experimental tech. - Work with AI/ML frameworks and data analytics.

- Utilize Git, DevOps basics, and JIRA for project management. Skills and Qualifications:

- Strong Python programming


skills.


- Proficiency in OOP and SQL.

- Experience with Django, Streamlit, Node.js, and Svelte.

- Familiarity with charting libraries.

- Knowledge of AI/ML frameworks.

- Basic Git and DevOps understanding.

- Effective communication and teamwork.


Company details: We are a team of Enterprise Transformation Experts who deliver radically transforming products, solutions, and consultation services to businesses of any size. Our exceptional team of diverse and passionate individuals is united by a common mission to democratize the transformative power of AI.


Website: Blue Hex Software – AI | CRM | CXM & DATA ANALYTICS

Read more
Matellio India Private Limited
Harpreet Kaur
Posted by Harpreet Kaur
Remote only
6 - 12 yrs
₹10L - ₹15L / yr
Natural Language Processing (NLP)
Artificial Intelligence (AI)
Machine Learning (ML)
Generative AI
Deep Learning
+1 more

Job Title: AI/ML Engineer

Expereince: 5+ Years

Location: Remote

 

Responsbilities

Algorithm Development:

• Design and develop cutting-edge algorithms for solving complex business problems.

• Collaborate with cross-functional teams to understand business requirements and translate them into effective AI/ML solutions.

Content Customization:

• Implement content customization strategies to enhance user experience and engagement.

• Work closely with stakeholders to tailor AI/ML models for specific business needs.

Data Collection and Preprocessing:

• Develop robust data collection strategies to ensure the availability of high-quality datasets.

• Implement preprocessing techniques to clean and prepare data for model training.

Model Training and Evaluation:

• Utilize machine learning frameworks such as TensorFlow, Pytorch, and Scikit Learn for model training.

• Conduct rigorous evaluation of models to ensure accuracy and reliability.

Monitoring and Optimization:

• Implement monitoring systems to track the performance of deployed models.

• Continuously optimize models for better efficiency and accuracy.

Data Analytics and Reporting:

• Leverage statistical modelling techniques to derive meaningful insights from data.

• Generate reports and dashboards to communicate findings to stakeholders.

Documentation:

• Create comprehensive documentation for algorithms, models, and implementation details.

• Provide documentation for training, deployment, and maintenance procedures.

 

Skills:

  • 6+ years of experience in AI/ML engineering.
  • Proficiency in Python and machine learning frameworks (TensorFlow, Pytorch, Scikit Learn).
  • Experience in Natural Language Processing (NLP) and Computer Vision.
  • Expertise in Generative AI techniques.
  • Familiarity with cloud platforms such as Azure and AWS.
  • Strong background in statistical modelling and content customization.
  • Excellent problem-solving skills and ability to work independently.
  • Strong communication and collaboration skills


Read more
NextGen Invent Corporation
Deepshikha Gupta
Posted by Deepshikha Gupta
Remote only
0 - 8 yrs
₹3L - ₹20L / yr
Python
Object Oriented Programming (OOPs)
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
+3 more

Experience: 1- 5 Years

Job Location: WFH

No. of Position: Multiple

Qualifications: Ph.D. Must have

Work Timings: 1:30 PM IST to 10:30 PM IST

Functional Area: Data Science

NextGen Invent is currently searching for Data Scientist. This role will directly report to the VP, Data Science in Data Science Practice. The person will work on data science use-cases for the enterprise and must have deep expertise in supervised and unsupervised machine learning, modeling and algorithms with a strong focus on delivering use-cases and solutions at speed and scale to solve business problems.

Job Responsibilities:

  • Leverage AI/ML modeling and algorithms to deliver on use cases
  • Build modeling solutions at speed and scale to solve business problems
  • Develop data science solutions that can be tested and deployed in Agile delivery model
  • Implement and scale-up high-availability models and algorithms for various business and corporate functions
  • Investigate and create experimental prototypes that work on specific domains and verticals
  • Analyze large, complex data sets to reveal underlying patterns, and trends
  • Support and enhance existing models to ensure better performance
  • Set up and conduct large-scale experiments to test hypotheses and delivery of models

Skills, Knowledge, Experience:

  • Must have Ph.D. in an analytical or technical field (e.g. applied mathematics, computer science)
  • Strong knowledge of statistical and machine learning methods
  • Hands on experience on building models at speed and scale
  • Ability to work in a collaborative, transparent style with cross-functional stakeholders across the organization to lead and deliver results
  • Strong skills in oral and written communication
  • Ability to lead a high-functioning team and develop and train people
  • Must have programming experience in SQL, Python and R
  • Experience conceiving, implementing and continually improving machine learning projects
  • Strong familiarity with higher level trends in artificial intelligence and open-source platforms
  • Experience working with AWS, Azure, or similar cloud platform
  • Familiarity with visualization techniques and software
  • Healthcare experience is a plus
  • Experience in Kafka, Chatbot and blockchain is a plus.


Read more
Sahaj AI Software

at Sahaj AI Software

1 video
6 recruiters
Pavithra RM
Posted by Pavithra RM
Remote, Pune, Bengaluru (Bangalore), Chennai, Hyderabad
7 - 18 yrs
₹30L - ₹80L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
large language model

Job Description 

Data scientist with strong background in data mining, machine learning, recommendation systems, and statistics. Should possess signature strengths of a qualified mathematician with ability to apply concepts of Mathematics, Applied Statistics, with specialization in one or more of NLP, Computer Vision, Speech, Data mining to develop models that provide effective solution.. A strong data engineering background with hands-on coding capabilities is needed to own and deliver outcomes. 

A Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models. 

Responsibilities and skills: 

● Work with our customers to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. 

● Selecting features, building and optimizing classifiers using ML techniques ● Data mining using state-of-the-art methods, create text mining pipelines to clean & process large unstructured datasets to reveal high quality information and hidden insights using machine learning techniques 

● Should be able to appreciate and work on Computer Vision problems – for example extract rich information from images to categorize and process visual data— Develop machine learning algorithms for object and image classification, Experience in using DBScan, PCA, Random Forests and Multinomial Logistic Regression to select the best features to classify objects. 

OR 

● Deep understanding of NLP such as fundamentals of information retrieval, deep learning approaches, transformers, attention models, text summarisation, attribute extraction, etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user generated content, sentiment analysis, etc. 

OR 

● Speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing. Experience of having worked in these areas.

Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Needs to appreciate deep learning frameworks like MXNet, Caffe 2, Keras, Tensorflow 

● Experience in working with GPUs to develop models, handling terabyte size datasets ● Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, mlr, mllib, Scikit-learn, caret etc - excellence in at least one of these is highly desirable ● Should be able to work hands-on in Python, R etc. Should closely collaborate & work with engineering teams to iteratively analyse data using Scala, Spark, Hadoop, Kafka, Storm etc., 

● Experience with NoSQL databases and familiarity with data visualization tools will be of great advantage

Read more
42 Cards solution
Agency job
via Qrata by Prajakta Kulkarni
Bengaluru (Bangalore)
10 - 13 yrs
₹25L - ₹28L / yr
Spotfire
Qlikview
Tableau
PowerBI
Data Visualization
+7 more

Job Title:- Head of Analytics

Job Location:- Bangalore - On - site

 

About Qrata:

Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing start-ups using qrata’s talent marketplaces. To sign-up please visit Qrata Talent Sign-Up

 

We are currently scouting for Head of Analytics

 

Our Client Story:

Founded by a team of seasoned bankers with over 120 years of collective experience in banking, financial services and cards, encompassing strategy, operation, marketing, risk & technology, both in India and internationally.

We offer credit card processing Solution that can help you in effectively managing your credit card portfolio end-to-end. These solution are customized to meet the unique strategic, operational and compliance requirements of each bank.

1. Card Programs built for Everyone Limit assignment based on customer risk assessment & credit profiles including secured cards

2. Cards that can be used Everywhere. Through POS machines, UPI, E-Commerce websites

3. A Card for Everything Enable customer purchases, both large and small

4. Customized Card configurations Restrict usage based on merchant codes, location, amount limits etc

5. End-to-End Support We undertake the complete customer life cycle management right from KYC checks, onboarding, risk profiling, fraud control, billing and collections

6. Rewards Program Management We will manage the entire cards reward and customer loyalty programs for you

 

What you will do:

We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modelling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business

 

Qualification:

  • Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field
  • Proven experience (7+ years) in leading analytics teams in the credit card industry
  • Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques
  • Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL
  • Experience with analytics tools such as SAS, SPSS, or Tableau
  • Excellent leadership and team management skills, with a track record of building and developing high-performing teams
  • Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle
  • Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience

 

What you can expect:

1. Develop and implement Analytics Strategy:

o Define the analytics roadmap for the credit card business, aligning it with overall business objectives

o Identify key performance indicators (KPIs) and metrics to track the performance of the credit card business

o Collaborate with senior management and cross-functional teams to prioritize and execute analytics initiatives

2. Lead Data Analysis and Insights:

o Conduct in-depth analysis of credit card data, customer behaviour, and market trends to identify opportunities for business growth and risk mitigation

o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities

o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies

o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information

3. Drive Data Governance and Quality:

o Oversee data governance initiatives, ensuring data accuracy, consistency, and integrity across relevant systems and platforms

o Collaborate with IT teams to optimize data collection, integration, and storage processes to support advanced analytics capabilities

o Establish and enforce data privacy and security protocols to comply with regulatory requirements

4. Team Leadership and Collaboration:

o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning

o Provide guidance and mentorship to the team, promoting professional growth and development

o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives

5. Stay Updated on Industry Trends:

o Keep abreast of emerging trends, techniques, and technologies in analytics, credit card business, and the financial industry

o Leverage industry best practices to drive innovation and continuous improvement in analytics methodologies and tools

 

For more Opportunities Visit: Qrata Opportunities.

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Webtiga Private limited
Bengaluru (Bangalore)
7 - 13 yrs
Best in industry
Artificial Intelligence (AI)
Machine Learning (ML)
Microservices
Architecture
Cloud Computing
+1 more

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

  • Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
  • Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

  • Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
  • Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
  • Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

  • Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
  • Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

  • Lead the development and deployment of AI and machine learning models.
  • Implement best practices for model training, testing, and validation.
  • Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

  • Define and implement microservices architecture patterns and best practices.
  • Ensure that microservices are designed for scalability, flexibility, and resilience.
  • Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

  • Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
  • Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

  • Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
  • Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

  • Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
  • Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

  • Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
  • Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

  • Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
  • Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

  • Bachelor's or Masters degree in computer science, Data Science, or a related field.
  • Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
  • Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
  • Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
  • Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
  • Excellent communication and interpersonal skills.
  • Ability to lead cross-functional teams and drive innovation.
  • Strong problem-solving and critical-thinking abilities.
  • Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

  • AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
  • Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
  • Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

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India Bison
Vanita Deokar
Posted by Vanita Deokar
Remote only
5 - 8 yrs
₹5L - ₹15L / yr
Spotfire
Qlikview
Tableau
PowerBI
Data Visualization
+6 more

Responsibilities

> Selecting features, building and optimizing classifiers using machine

> learning techniques

> Data mining using state-of-the-art methods

> Extending company’s data with third party sources of information when

> needed

> Enhancing data collection procedures to include information that is

> relevant for building analytic systems

> Processing, cleansing, and verifying the integrity of data used for

> analysis

> Doing ad-hoc analysis and presenting results in a clear manner

> Creating automated anomaly detection systems and constant tracking of

> its performance


Key Skills

> Hands-on experience of analysis tools like R, Advance Python

> Must Have Knowledge of statistical techniques and machine learning

> algorithms

> Artificial Intelligence

> Understanding of Text analysis- Natural Language processing (NLP)

> Knowledge on Google Cloud Platform

> Advanced Excel, PowerPoint skills

> Advanced communication (written and oral) and strong interpersonal

> skills

> Ability to work cross-culturally

> Good to have Deep Learning

> VBA and visualization tools like Tableau, PowerBI, Qliksense, Qlikview

> will be an added advantage

Read more
Coimbatore
4 - 7 yrs
₹5L - ₹20L / yr
Python
React.js
Machine Learning (ML)
Vue.js
AngularJS (1.x)
+8 more

·        Qualification: bachelor’s or master’s degree in computer science, Engineering, or related field.

·        Proven 4+ years of experience in full stack development, including proficiency with React, Tailwind CSS, Python, and Flask.

·        Strong understanding of Graph QL concepts and hands-on experience with Ariadne or similar frameworks.

·        Familiarity with containerization using Docker for application deployment.

·        Demonstrated expertise in machine learning model integration, preferably using the Hugging Face framework.

·        Experience deploying machine learning models on cloud platforms such as Replicate and AWS is a strong plus.

·        Excellent problem-solving skills and a proactive attitude towards learning and adapting to new technologies.

·        Should have experience in Backend: Python, Flask Framework, Langchain ML Ops Framework, Ariadne Graph QL Framework, Docker. Frontend: React, Tailwind. ML Model Development – Hugging Face Model Training, ML Deployment onto Replicate or AWS

Read more
Lifespark Technologies

at Lifespark Technologies

6 candid answers
1 video
Amey Desai
Posted by Amey Desai
Mumbai
1 - 3 yrs
₹4L - ₹9L / yr
TensorFlow
Machine Learning (ML)
Computer Vision
Deep Learning
Time series
+4 more

Lifespark is looking for individuals with a passion for impacting real lives through technology. Lifespark is one of the most promising startups in the Assistive Tech space in India, and has been honoured with several National and International awards. Our mission is to create seamless, persistent and affordable healthcare solutions. If you are someone who is driven to make a real impact in this world, we are your people.

Lifespark is currently building solutions for Parkinson’s Disease, and we are looking for a ML lead to join our growing team. You will be working directly with the founders on high impact problems in the Neurology domain. You will be solving some of the most fundamental and exciting challenges in the industry and will have the ability to see your insights turned into real products every day

 

Essential experience and requirements:

1. Advanced knowledge in the domains of computer vision, deep learning

2. Solid understand of Statistical / Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments and production level ML system design

3. Experienced with proper project workflow

4. Good at collating multiple datasets (potentially from different sources)

5. Good understanding of setting up production level data pipelines

6. Ability to independently develop and deploy ML systems to various platforms (local and cloud)

7. Fundamentally strong with time-series data analysis, cleaning, featurization and visualisation

8. Fundamental understanding of model and system explainability

9. Proactive at constantly unlearning and relearning

10. Documentation ninja - can understand others documentation as well as create good documentation

 

Responsibilities :

1. Develop and deploy ML based systems built upon healthcare data in the Neurological domain

2. Maintain deployed systems and upgrade them through online learning

3. Develop and deploy advanced online data pipelines

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Zevo software labs pvt ltd
Bengaluru (Bangalore)
3 - 8 yrs
Best in industry
Python
Machine Learning (ML)
Cloud Computing
Natural Language Processing (NLP)
TensorFlow
+5 more

Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!


As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.


Responsibilities:


  1. AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
  2. Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
  3. Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
  4. Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
  5. Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
  6. Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
  7. Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
  8. Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.



Requirements


  1. Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
  2. Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
  3. Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
  4. Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
  5. Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
  6. Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
  7. Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.


If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!

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CK-12 Foundation

at CK-12 Foundation

1 video
7 recruiters
Amit Gupta
Posted by Amit Gupta
Bengaluru (Bangalore)
3 - 6 yrs
Best in industry
PyTorch
Natural Language Processing (NLP)
Machine Learning (ML)
Scikit-Learn
Large Language Model
+2 more

We are seeking a talented and motivated AI Verification Engineer to join our team. The ideal candidate will be responsible for the validation of our AI and Machine Learning systems, ensuring that they meet all necessary quality assurance requirements and work reliably and optimally in real-world scenarios. The role requires strong analytical skills, a good understanding of AI and ML technologies, and a dedication to achieving excellence in the production of state-of-the-art systems.


Key Responsibilities:

  1. Develop and execute validation strategies and test plans for AI and ML systems, during development and on production environments.
  2. Work closely with AI/ML engineers and data scientists in understanding system requirements and capabilities and coming up with key metrics for system efficacy.
  3. Evaluate the system performance under various operating conditions, data variety, and scenarios.
  4. Perform functional, stress, system, and other testing types to ensure our systems' reliability and robustness.
  5. Create automated test procedures and systems for regular verification and validation processes, and detect any abnormal anomalies in usage.
  6. Report and track defects, providing detailed information to facilitate problem resolution.
  7. Lead the continuous review and improvement of validation and testing methodologies, procedures, and tools.
  8. Provide detailed reports and documentation on system performance, issues, and validation results.


Required Skills & Qualifications:

  1. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  2. Proven experience in the testing and validation of AI/ML systems or equivalent complex systems.
  3. Good knowledge and understanding of AI and ML concepts, tools, and frameworks.
  4. Proficient in scripting and programming languages such as Python, shell scripts etc.
  5. Experience with AI/ML platforms and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn.
  6. Excellent problem-solving abilities and attention to detail.
  7. Strong communication skills, with the ability to document and explain complex technical concepts clearly.
  8. Ability to work in a fast-paced, collaborative environment.


Preferred Skills & Qualifications:

  1.  A good understanding of various large language models, image models, and their comparative strengths and weaknesses.
  2. Knowledge of CI/CD pipelines and experience with tools such as Jenkins, Git, Docker.
  3. Experience with cloud platforms like AWS, Google Cloud, or Azure.
  4. Understanding of Data Analysis and Visualization tools and techniques.



Read more
fintech startup
Agency job
via Qrata by Rayal Rajan
Pune
4 - 12 yrs
₹15L - ₹45L / yr
Python
Linear regression
Logistic regression
Machine Learning (ML)
Algorithms

The role is with a Fintech Credit Card company based in Pune within the Decision Science team. (OneCard )


About


Credit cards haven't changed much for over half a century so our team of seasoned bankers, technologists, and designers set out to redefine the credit card for you - the consumer. The result is OneCard - a credit card reimagined for the mobile generation. OneCard is India's best metal credit card built with full-stack tech. It is backed by the principles of simplicity, transparency, and giving back control to the user.



The Engineering Challenge


“Re-imaging credit and payments from First Principles”


Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies.


Purpose of Role :


- Develop and implement the collection analytics and strategy function for the credit cards. Use analysis and customer insights to develop optimum strategy.


CANDIDATE PROFILE :


- Successful candidates will have in-depth knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques. They will be an adept communicator with good interpersonal skills to work with senior stake holders in India to grow revenue primarily through identifying / delivering / creating new, profitable analytics solutions.


We are looking for someone who:


- Proven track record in collection and risk analytics preferably in Indian BFSI industry. This is a must.


- Identify & deliver appropriate analytics solutions


- Experienced in Analytics team management



Essential Duties and Responsibilities :


- Responsible for delivering high quality analytical and value added services


- Responsible for automating insights and proactive actions on them to mitigate collection Risk.


- Work closely with the internal team members to deliver the solution


- Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution


- Use analysis and customer insights to develop value propositions for customers


- Maintain and enhance the suite of suitable analytics products.


- Actively seek to share knowledge within the team


- Share findings with peers from other teams and management where required


- Actively contribute to setting best practice processes.


Knowledge, Experience and Qualifications :


Knowledge :


- Good understanding of collection analytics preferably in Retail lending industry.


- Knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques and market trends


- Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Multiple Regression, LOGIT, PROBIT, time- series modelling, CHAID, CART etc.


- Knowledge of Machine learning & AI algorithms such as Gradient Boost, KNN, etc.


- Understanding of decisioning and portfolio management in banking and financial services would be added advantage


- Understanding of credit bureau would be an added advantage


Experience :


- 4 to 8 years of work experience in core analytics function of a large bank / consulting firm.


- Experience on working on Collection analytics is must


- Experience on handling large data volumes using data analysis tools and generating good data insights


- Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to technical and non-technical audiences


- Excellent communication, presentation and writing skills Strong interpersonal skills


- Motivated to meet and exceed stretch targets


- Ability to make the right judgments in the face of complexity and uncertainty


- Excellent relationship and networking skills across our different business and geographies


Qualifications :


- Masters degree in Statistics, Mathematics, Economics, Business Management or Engineering from a reputed college

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Victrix Systems  Labs

at Victrix Systems Labs

1 recruiter
Sejal Peter
Posted by Sejal Peter
Pune
3 - 5 yrs
₹5L - ₹15L / yr
Python
Machine Learning (ML)
Amazon Web Services (AWS)
Artificial Intelligence (AI)

Relevant Experience:

• 3-5 years

Required Skills

• In-depth experience with Python and OO concepts

• Experience with using NumPy, Pandas, or similar AI/ML libraries

• Deep understanding of multi-process architecture and threading limitations of Python

• Expert knowledge of Python and related frameworks including Django and Flask.

• Experience in Machine Learning and Artificial Intelligence

• Good understanding of relational data modeling concepts and comfortable with SQL

• databases.

• Good understanding of AWS / Azure cloud

• Nice to have

• Experience / Exposure in Chat BOT or Voice BOT

• Experience in Lambda Function OR Azure Functions

• Exposure to Financial Domain

Additional Skillsets Desired:

• Ability to work with clients and key stakeholders to ensure requirements are met

• Strong problem-solving and debugging skills

• Passion to work in a start-up environment and readiness to dabble with challenging

• Ability to work in both a solo and team environment

• Proven ability to communicate technical information coherently, both verbally and into internal team and external customers, maintaining a customer focused


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Bengaluru (Bangalore)
7 - 15 yrs
Best in industry
Spotfire
Qlikview
Tableau
PowerBI
Data Visualization
+3 more


Role: Head of Analytics

Location: Bangalore (Full time)


ABOUT QRATA: 

Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing startups using Qrata’s talent marketplaces. To sign-up, please visit Qrata Talent Sign-Up 


ABOUT THE COMPANY WE ARE HIRING FOR: 

Our client is offering credit card solutions for banks and financial institutions. It provides services like credit card design and onboarding, credit card authorization, payment processing, collections and dispute resolutions, credit card fraud detection, and more. They serve in the B2B space in the FinTech market segments.


POSITION OVERVIEW 

We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modeling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business.


Responsibilities:

1. Develop and implement Analytics Strategy:

o Define the analytics roadmap for the credit card business, aligning it with overall

business objectives.

o Identify key performance indicators (KPIs) and metrics to track the performance

of the credit card business.

o Collaborate with senior management and cross-functional teams to prioritize and

execute analytics initiatives. 2. Lead Data Analysis and Insights:

o Conduct in-depth analysis of credit card data, customer behavior, and market trends to identify opportunities for business growth and risk mitigation.

o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities.

o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies.

o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information.


3. Drive Data Governance and Quality:

o Oversee data governance initiatives, ensuring data accuracy, consistency, and

integrity across relevant systems and platforms.

o Collaborate with IT teams to optimize data collection, integration, and storage

processes to support advanced analytics capabilities.

o Establish and enforce data privacy and security protocols to comply with

regulatory requirements.


4. Team Leadership and Collaboration:

o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning.

o Provide guidance and mentorship to the team, promoting professional growth and development.

o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives.


5. Stay Updated on Industry Trends:

o Keep abreast of emerging trends, techniques, and technologies in analytics, credit

card business, and the financial industry.

o Leverage industry best practices to drive innovation and continuous improvement

in analytics methodologies and tools.


Qualifications:


Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field.

Proven experience (7+ years) in leading analytics teams in the credit card industry.

Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques.

Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL.

Experience with analytics tools such as SAS, SPSS, or Tableau.

Excellent leadership and team management skills, with a track record of building and developing high-performing teams.

Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle.

Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience. 

Read more
Codemonk

at Codemonk

2 recruiters
Manjunath S
Posted by Manjunath S
Remote only
6 - 12 yrs
₹10L - ₹24L / yr
Python
Django
Flask
WSGI
ASGI
+7 more

About the Role:

Our team is responsible for building the backend components of MLOps plaBorm on AWS.

The backend components we build are the fundamental blocks for feature engineering,

feature serving, model deployment and model inference in both batch and online modes.


What you’ll do here

•Design & build backend components of our MLOps plaBormon AWS.

•Collaborate with geographically distributed cross-funcMonal teams.

•ParMcipate in on-call rotaMon with the rest of the team to handle producMon incidents.


What you’ll need to succeed


Must have skills:

•At least 8+ years ofprofessionalbackend web development experience with Python.

•Experiencewith web development frameworks such as Flask, Django or FastAPI.

•Experience working with WSGI & ASGI web serverssuch as Gunicorn, Uvicornetc.

•Experience with concurrent programming designs such as AsyncIO.

•Experience withunit and funcMonal tesMng frameworks.

•Experience with any of the public cloud platforms like AWS, Azure, GCP, preferably AWS.

•Experience with CI/CD practices, tools,and frameworks.


Nice to have skills:

•Experience with Apache KaYa and developing KaYa client applicaMons in Python.

•Experience with MLOps plaBorms such as AWS Sagemaker, Kubeflow or MLflow.

•Experience with big data processing frameworks, preferably Apache Spark.

•Experience with containers(Docker)andcontainer plaBorms likeAWS ECSor AWS EKS.

•Experience with DevOps & IaC tools such as Terraform, Jenkinsetc.

•Experience with various Python packaging opMons such as Wheel, PEX or Conda.

Read more
Mobile Programming LLC

at Mobile Programming LLC

1 video
34 recruiters
Sukhdeep Singh
Posted by Sukhdeep Singh
Remote only
5 - 5 yrs
₹10L - ₹15L / yr
Salesforce
Salesforce development
Artificial Intelligence (AI)
Machine Learning (ML)
Salesforce Apex
+5 more

Job Description: Salesforce Developer

Company: Mobile Programming LLC

Location: Remote

Shift Time: 8:30 PM to 5:30 AM

Experience: 5 to 7 Years

Skills: AI/ML tools, Python, R, or Java, Salesforce

Budget: 16 LPA

Mobile Programming LLC is seeking a skilled Salesforce Developer to join our team. As a Salesforce Developer, you will be responsible for designing, developing, and implementing Salesforce solutions that meet our clients' business needs. This is a remote position, and we are specifically looking for immediate joiners who can work during the shift time of 8:30 PM to 5:30 AM.

Responsibilities:

  • Design, develop, and implement customized Salesforce solutions using Apex, Visualforce, and Lightning components.
  • Collaborate with cross-functional teams, including business analysts and project managers, to gather requirements and translate them into technical designs.
  • Customize and configure Salesforce using declarative tools like Process Builder, Workflows, and Flow.
  • Integrate Salesforce with external systems using REST and SOAP APIs.
  • Perform data migrations and data cleansing activities in Salesforce.
  • Create and maintain technical documentation, including design specifications and test cases.
  • Conduct unit testing and support system and user acceptance testing.
  • Troubleshoot and resolve issues related to Salesforce configuration, customization, and integration.

Requirements:

  • 5 to 7 years of experience as a Salesforce Developer.
  • Proficiency in AI/ML tools, such as Python, R, or Java, is highly desired.
  • Strong knowledge of Salesforce development technologies, including Apex, Visualforce, and Lightning components.
  • Experience with Salesforce configuration using declarative tools.
  • Familiarity with Salesforce integration using REST and SOAP APIs.
  • Solid understanding of object-oriented programming concepts.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.
  • Ability to work independently and deliver high-quality results within tight deadlines.
  • Salesforce certifications (e.g., Salesforce Platform Developer I and II) are a plus.

The budget for this position is 16 LPA (Lakh Per Annum).

If you are a talented Salesforce Developer with a passion for innovation and seeking a challenging opportunity, we would love to hear from you. Please note that only immediate joiners will be considered for this position.

Read more
Mumbai, Navi Mumbai
6 - 14 yrs
₹16L - ₹37L / yr
Python
PySpark
Data engineering
Big Data
Hadoop
+3 more

Role: Principal Software Engineer


We looking for a passionate Principle Engineer - Analytics to build data products that extract valuable business insights for efficiency and customer experience. This role will require managing, processing and analyzing large amounts of raw information and in scalable databases. This will also involve developing unique data structures and writing algorithms for the entirely new set of products. The candidate will be required to have critical thinking and problem-solving skills. The candidates must be experienced with software development with advanced algorithms and must be able to handle large volume of data. Exposure with statistics and machine learning algorithms is a big plus. The candidate should have some exposure to cloud environment, continuous integration and agile scrum processes.



Responsibilities:


• Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule

• Software Development that creates data driven intelligence in the products which deals with Big Data backends

• Exploratory analysis of the data to be able to come up with efficient data structures and algorithms for given requirements

• The system may or may not involve machine learning models and pipelines but will require advanced algorithm development

• Managing, data in large scale data stores (such as NoSQL DBs, time series DBs, Geospatial DBs etc.)

• Creating metrics and evaluation of algorithm for better accuracy and recall

• Ensuring efficient access and usage of data through the means of indexing, clustering etc.

• Collaborate with engineering and product development teams.


Requirements:


• Master’s or Bachelor’s degree in Engineering in one of these domains - Computer Science, Information Technology, Information Systems, or related field from top-tier school

• OR Master’s degree or higher in Statistics, Mathematics, with hands on background in software development.

• Experience of 8 to 10 year with product development, having done algorithmic work

• 5+ years of experience working with large data sets or do large scale quantitative analysis

• Understanding of SaaS based products and services.

• Strong algorithmic problem-solving skills

• Able to mentor and manage team and take responsibilities of team deadline.


Skill set required:


• In depth Knowledge Python programming languages

• Understanding of software architecture and software design

• Must have fully managed a project with a team

• Having worked with Agile project management practices

• Experience with data processing analytics and visualization tools in Python (such as pandas, matplotlib, Scipy, etc.)

• Strong understanding of SQL and querying to NoSQL database (eg. Mongo, Casandra, Redis

Read more
Jio Platforms Limited

at Jio Platforms Limited

3 recruiters
Dixit Nahar
Posted by Dixit Nahar
Navi Mumbai, Mumbai
3 - 5 yrs
₹9L - ₹15L / yr
Python
TensorFlow
Keras
Apache Kafka
Spark
+7 more
Role - Data Scientist / Machine Learning Scientist / Deep Learning Engineer -: 3 - 5 yrs experienced Programming Must Know:- Python, Tensorflow, Keras, Kafka, Spark Must have worked in Video Analytics with at least 2 Deep Learning Models like R-CNN, LSTM, Object Detection Models like YOLO, Object tracking Models like Deep SORT Must have good model training and testing experience with Structured(statistical machine learning) and Unstructured Data Must be good with Statistics. Good to have Data visualization experience in Python or any data visualization tool. Good to have Kubernetes, Multiprocessing experience, MLops like docker, hydra etc

Team:- We are a team of 9 data scientists working on Video Analytics Projects, Data Analytics projects for internal AI requirements of Reliance Industries as well for the external business. At a time, we make progress on multiple projects(atleast 4) in Video Analytics or Data Analytics.
Read more
financing company
Mumbai, Navi Mumbai
10 - 15 yrs
Best in industry
Engineering Management
Data Science
Machine Learning (ML)

RESPONSIBILITIES:

• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.

• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.

• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.

• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.

• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.

• You’ll be reporting directly to the head of the engineering and will be

instrumental in discussing and explaining the progress to top management and other stake holders.

• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.


REQUIREMENTS:


• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems

• Stay updated with latest research in machine learning esp. recommender systems and audio signals

• Have taken scalable ML services to production, maintained and managed their lifecycle

• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models


Minimum Qualifications

• 13+ years of industry experience doing applied machine learning

• 5+ years of experience in tech team management

• Fluent in one or more object oriented languages like Python, C++, Java

• Knowledgeable about core CS concepts such as common data structures an algorithms

• Comfortable conducting design and code reviews

• Comfortable in formalising a product or business problem as a ML problem

• Master’s or PhD degree in Computer Science, Mathematics or related field

• Industry experience with large scale recommendation and ranking systems

• Experience in managing team of 10-15 engineers

• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow

Read more
Fintech lead,
Agency job
via The Hub by Sridevi Viswanathan
Remote only
3 - 6 yrs
₹10L - ₹25L / yr
BERT
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Python

Responsibilities


Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data


Qualifications


3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases .

desirable Ability to collaborate on projects and work independently when required.


Previous experience in Fintech/payments domain is a bonus


You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

Read more
Railofy

at Railofy

1 video
1 recruiter
Manan Jain
Posted by Manan Jain
Remote only
1 - 3 yrs
₹8L - ₹12L / yr
Python
Flask
Machine Learning (ML)
Artificial Intelligence (AI)
matplotlib
+3 more

About the team & role :

Railways are the backbone of India. However, the passenger experience is broken across the board.

Starting with food, where the food served in pantries & platforms is not fit for human consumption,

Railofy is on a mission to create the largest & the most trustworthy brand in this space. Since launch

in Jan 2020, Railofy has scaled to become the leading online food brand in each of the stations that it

operates.


We are a VC-funded startup solving one of the biggest transportation problems India faces. Most passengers in India travel long distance by IRCTC trains. At time of booking, approx 1 out of every 2 passengers end up with a Waitlisted or RAC ticket. This creates a lot of anxiety for passengers, as Railway only announces only 4 hour before departure if they have a confirmed seat. We solve this problem through our Waitlist & RAC Protection. Protection can be bought against each IRCTC ticket

at time of booking. If train ticket is not confirmed, we fly the passenger to the destination. Our team consists of 3 Founders from IIT, IIM and ISB.


Functional Experience :

 Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms

 2 years of relevant experience with Python coding

 1+ years of OOP’s Structural coding experience.

 Expertise in Python packages like pandas, numPy, scikit-learn, matplotlib, seaborn, Flask, streamlit

 Able to Implement security and data protection solutions

 Accommodating various data storage solutions


Soft Skills:

 Communication skills – effective and amicable communication between groups, developers,

testers, designers, and users

 Analytical skills – Good understanding of algorithms and logic that goes behind coding the

application

 Competence to write clear, optimized, necessary code

 Critical thinking, and troubleshooting skills

 Collaboration and team-orientation

 Task organization, time management

Read more
Fintech lead,
Agency job
via The Hub by Sridevi Viswanathan
Remote only
3 - 7 yrs
₹3L - ₹25L / yr
Natural Language Processing (NLP)
Data Science
Machine Learning (ML)
BERT
Python
+1 more

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

Read more
Fintech lead,
Agency job
via The Hub by Sridevi Viswanathan
Remote only
3 - 6 yrs
₹5L - ₹25L / yr
BERT
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Python

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

Read more
Hectar India Trading Pvt Ltd
Chennai
10 - 20 yrs
₹50L - ₹70L / yr
Machine Learning (ML)
Data Analytics
Data flow analytics
Software engineering
Data Science

About the company: https://www.hectar.in/


Hectar Global is a financial technology company that provides a disruptive cross-border trading platform for the agricultural commodities market. Our platform utilizes machine learning and data analysis to provide insights and improve the trading experience for farmers, traders, and other stakeholders in the agricultural industry. Our mission is to bring transparency and efficiency to the agricultural commodities market, which has traditionally been fragmented and opaque. We are committed to driving innovation in the industry and providing a user-friendly and accessible platform for our customers.


Job Overview: 


We are seeking a highly skilled Head of Engineering to lead the development of our innovative and disruptive cross-border trading platform at Hectar Global. This person will be responsible for spearheading all technical aspects of the project, from architecture and infrastructure to data and machine learning.


Responsibilities:


  • Lead and manage a team of engineers, including hiring, training, and mentoring
  • Design and implement the technical architecture of the cross-border trading platform
  • Ensure the platform is scalable, efficient, and secure
  • Oversee the development of data models and machine learning algorithms
  • Collaborate with cross-functional teams, including product and design, to ensure the platform meets user needs and is visually appealing and easy to use
  • Work with stakeholders to identify business requirements and translate them into technical solutions
  • Develop and maintain technical documentation, including system specifications, design documents, and user manuals
  • Keep up to date with emerging trends and technologies in software engineering, machine learning, and data science

Requirements:


  • Bachelor's or Master's degree in Computer Science or related field
  • 10+ years of experience in software engineering, with a focus on web applications and machine learning
  • Proven track record of leading and managing a team of engineers
  • Expertise in software architecture and design patterns
  • Experience with data modeling and machine learning techniques
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Experience working in an agile development environment
  • Strong knowledge of front-end technologies, such as HTML, CSS, and JavaScript
  • Familiarity with modern web frameworks, such as React or Angular


Preferred qualifications:


  • Experience with cloud computing platforms, such as AWS or Azure
  • Familiarity with data visualization tools, such as D3.js or Tableau
  • Experience with containerization and orchestration tools, such as Docker and Kubernetes
  • Understanding of financial markets and trading platforms


If you are a passionate leader with a proven track record of building innovative and disruptive products and teams, we would love to hear from you.

Read more
Furious Fox
Nida Khanum
Posted by Nida Khanum
Coimbatore, Chennai
6 - 10 yrs
₹10L - ₹25L / yr
Internet of Things (IOT)
Embedded Linux
Embedded C++
Embedded C
RTOS
+14 more

FURIOUS FOX is looking for Embedded Developers with strong coding skills in C & C++ as well as experience with Embedded Linux.


Experience : (Minimum 7-10 yrs)


• Experienced in edge processing for connected building / industrial / consumer

appliances / automotive ECU

• Have a good understanding of IoT platforms and architecture

• Deep experience in operating systems eg: Linux, freeRTOS / kernel development/device drivers.

/ sensor drivers

• Have experience with various low-level communication protocols, memory devices, messaging

framework etc.

• Have a deep understanding of design principles, design patterns, container preparations

• Have developed hardware, OS abstraction layers, and sensor handlers services to manage various BSP, os standards

• Have experience with Python edge packages.

• Have a good understanding about IoT databases for edge computing

• Good understanding of connectivity application protocols and connectivity SDK for Wi-Fi and BT / BLE

• Experienced in arm architecture, peripheral devices and hardware board configurations

• Able to set up debuggers, configure build environments, and compilers and optimize code and performance.


Skills / Tools:


• Expert at object-oriented programming

• Modular programming

• C / C++ / JavaScript / Python

• Eclipse framework

• Target deployment techniques

• IoT framework

• Test framework


Highlights :


• Having AI / ML knowledge in applications

• Have worked on wireless protocols

• Ethernet / Wi-Fi / Bluetooth / BLE

• Highly exploratory attitude

• willing to venture in and learn new

technologies.

• Have done passionate projects based on self-interest.

Read more
Fintech Leader, building a product on data Science
Remote, Pune
3 - 6 yrs
₹5L - ₹25L / yr
Natural Language Processing (NLP)
Machine Learning (ML)
BERT
Data Science
Computer Vision
+1 more

Data Scientist-


We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.


As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.


Responsibilities


Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data


Qualifications


3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

Read more
Hyderabad
3 - 4 yrs
₹10L - ₹15L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
TensorFlow
+5 more

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand.


Responsibilities

  • Lead the CV and DS Team
  • Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant).
  • Your work will include formulation and development of a Machine Learning models to solve the underlying problem.
  • You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo
  • Statistical data modelling and machine learning research.
  • Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes
  • Conduct applied research to model complex dependencies, statistical inference and predictive modelling
  • Technological conception, design and implementation of new features
  • Quality assurance of the software through planning, creation and execution of tests
  • Work with a cross-functional team to define, build, test, and deploy applications


Requirements:

  • Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields.
  • 3-4 years of experience with computer vision and data science.
  • Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques).
  • Experience building production-quality and well-engineered Computer Vision and Data Science products.
  • Experience in image processing, algorithms and neural networks.
  • Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform
  • Solid Python engineering skills and experience with Python, Tensorflow, Docker
  • Cooperative and independent work, analytical mindset, and willingness to take responsibility
  • Fluency in English, both written and spoken.
Read more
Kloud9 Technologies
Prem Kumar
Posted by Prem Kumar
Bengaluru (Bangalore)
3 - 7 yrs
₹12L - ₹24L / yr
Machine Learning (ML)
Data Science
Python
Java
R Programming

About Kloud9:

 

Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.

 

Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.

 

At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.

 

Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.

 

We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.

 

Responsibilities:

●       Studying, transforming, and converting data science prototypes

●       Deploying models to production

●       Training and retraining models as needed

●       Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their respective scores

●       Analyzing the errors of the model and designing strategies to overcome them

●       Identifying differences in data distribution that could affect model performance in real-world situations

●       Performing statistical analysis and using results to improve models

●       Supervising the data acquisition process if more data is needed

●       Defining data augmentation pipelines

●       Defining the pre-processing or feature engineering to be done on a given dataset

●       To extend and enrich existing ML frameworks and libraries

●       Understanding when the findings can be applied to business decisions

●       Documenting machine learning processes

 

Basic requirements: 

 

●       4+ years of IT experience in which at least 2+ years of relevant experience primarily in converting data science prototypes and deploying models to production

●       Proficiency with Python and machine learning libraries such as scikit-learn, matplotlib, seaborn and pandas

●       Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc

●       Experience in working with ML frameworks like TensorFlow, Keras, OpenCV

●       Strong written and verbal communications

●       Excellent interpersonal and collaboration skills.

●       Expertise in visualizing and manipulating big datasets

●       Familiarity with Linux

●       Ability to select hardware to run an ML model with the required latency

●       Robust data modelling and data architecture skills.

●       Advanced degree in Computer Science/Math/Statistics or a related discipline.

●       Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.)

 

Nice to have

●       Familiarity with Java, and R code writing.

●       Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

●       Verifying data quality, and/or ensuring it via data cleaning

●       Supervising the data acquisition process if more data is needed

●       Finding available datasets online that could be used for training

 

Why Explore a Career at Kloud9:

 

With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers.

Read more
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