50+ Machine Learning (ML) Jobs in India

About Springworks

At Springworks, we're on a mission to revolutionize the world of People Operations. With our innovative tools and products, we've already empowered over 500,000+ employees across 15,000+ organizations and 60+ countries in just a few short years.

But what sets us apart? Let us introduce you to our exciting product stack:

• SpringVerify: Our B2B background verification platform
• EngageWith: Spark vibrant cultures! Our recognition platform adds magic to work.
• Trivia: Fun remote team-building! Real-time games for strong bonds.
• SpringRole: Future-proof profiles! Blockchain-backed skill showcase.
• Albus: AI-powered workplace search and knowledge bot for companies

Join us at Springworks and be part of the remote work revolution. Get ready to work, play, and thrive in an environment that's anything but ordinary!

Role Overview

This role is for our Albus team. As a SDE 2 at Springworks, you will be responsible for designing, developing, and maintaining robust, scalable, and efficient web applications. You will work closely with cross-functional teams, turning innovative ideas into tangible, user-friendly products. The ideal candidate has a strong foundation in both front-end and back-end technologies, with a focus on Python, Node.js and ReactJS. Experience in Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) will be a significant advantage.

Responsibilities:

• Collaborate with product management and design teams to understand user requirements and translate them into technical specifications.
• Develop and maintain server-side logic using Node.js and Python.
• Design and implement user interfaces using React.js with focus on user experience.
• Build reusable and efficient code for future use.
• Implement security and data protection measures.
• Collaborate with other team members and stakeholders to ensure seamless integration of front-end and back-end components.
• Troubleshoot and debug complex issues, identifying root causes and implementing effective solutions.
• Stay up-to-date with the latest industry trends, technologies, and best practices to drive innovation within the team.
• Participate in architectural discussions and contribute to technical decision-making processes.
• 
  

Goals (not limited to):

1 month into the job:

• Become familiar with the company's products, codebase, development tools, and coding standards. Aim to understand the existing architecture and code structure.
• Ensure that your development environment is fully set up and configured, and you are comfortable with the team's workflow and tools.
• Start contributing to the development process by taking on smaller tasks or bug fixes. Ensure that your code is well-documented and follows the team's coding conventions.
• Begin collaborating effectively with team members, attending daily stand-up meetings, and actively participating in discussions and code reviews.
• Understand the company's culture, values, and long-term vision to align your work with the company's goals.

3 months into the job:

• Be able to independently design, develop, and deliver small to medium-sized features or improvements to the product.
• Demonstrate consistent improvement in writing clean, efficient, and maintainable code. Receive positive feedback on code reviews.
• Continue to actively participate in team meetings, offer suggestions for process improvements, and collaborate effectively with colleagues.
• Start assisting junior team members or interns by sharing knowledge and providing mentorship.
• Seek feedback from colleagues and managers to identify areas for improvement and implement necessary changes.

6 months into the job:

• Take ownership of significant features or projects, from conception to deployment, demonstrating leadership in technical decision-making.
• Identify areas of the codebase that can benefit from refactoring or performance optimizations and work on these improvements.
• Propose and implement process improvements that enhance the team's efficiency and productivity.
• Continue to expand your technical skill set, potentially by exploring new technologies or frameworks that align with the company's needs.
• Strengthen your collaboration with other departments, such as product management or design, to ensure alignment between development and business objectives.

Requirements

• Minimum 4 years of experience working with Python along with machine learning frameworks and NLP technologies.
• Strong understanding of micro-services, messaging systems like SQS.
• Experience in designing and maintaining nosql databases (MongoDB)
• Familiarity with RESTful API design and implementation.
• Knowledge of version control systems (e.g., Git).
• Ability to work collaboratively in a team environment.
• Excellent problem-solving and communication skills, and a passion for learning. Essentially having a builder mindset is a plus.
• Proven ability to work on multiple projects simultaneously.
• 
  

Nice to Have:

• Experience with containerization (e.g., Docker, Kubernetes).
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of agile development methodologies.
• Contributions to open-source projects or a strong GitHub profile.
• Previous experience of working in a startup or fast paced environment.
• Strong understanding of front-end technologies such as HTML, CSS, and JavaScript.

About Company / Benefits

• Work from anywhere effortlessly with our remote setup perk: Rs. 50,000 for furniture and headphones, plus an annual addition of Rs. 5,000.
• We care about your well-being! Our health scheme covers not only your physical health but also your mental and social well-being. We've got you covered from head to toe!
• Say hello to endless possibilities with our learning and growth opportunities. We're here to fuel your curiosity and help you reach new heights.
• Take a breather and enjoy 30 annual paid leave days. It's time to relax, recharge, and make the most of your time off.
• Let's celebrate! We love company outings and celebrations that bring the team together for unforgettable moments and good vibes.
• We'll reimburse your workation trips, turning your travel dreams into reality.
• We've got your lifestyle covered. Treat yourself with our lifestyle allowance, which can be used for food, OTT, health/fitness, and more. Plus, we'll reimburse your internet expenses so you can stay connected wherever you go!
• 
  

Join our remote team and experience the freedom and flexibility of asynchronous communication. Apply now!

Know more about Springworks:

• Life at Springworks: https://www.springworks.in/blog/category/life-at-springworks/ 
• Glassdoor Reviews: https://www.glassdoor.co.in/Overview/Working-at-Springworks-EI_IE1013270.11,22.htm
• More about Asynchronous Communication: https://www.springworks.in/blog/asynchronous-communication-remote-work/

About TensorIoT

• AWS Advanced Consulting Partner (for ML and GenAI solutions) 
• Pioneers in IoT and Generative AI products. 
• Committed to diversity and inclusion in our teams.  

TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.

TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!

TensorIoT is proud to be an equal-opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Description 

At TensorIoT India team, we look forward to bringing on board senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process.

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 

Minimum Requirements: 

• Masters + 6 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 8 years of work experience in Machine Learning Engineering 3 years of Cloud Experience.  
• Experience working with Generative AI (LLM), Prompt Engineering, Fine Tuning of LLMs.
• Hands-on experience in MLOps (model deployment, maintenance)
• Hands-on experience with Docker.
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning  
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients.

Preferred Qualifications: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Some experience in creating cloud-native technologies, and microservices design. 
• Published scientific papers in the relevant domain of work. 

CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

• Focus: 
• More focus on technical skills relevant to the job description. 
• Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
• Less or no focus on the design aspect of the document. 
• Regarding the projects you completed in your previous companies, 
• Mention the problem statement very briefly. 
• Your role and responsibilities in that project. 
• Technologies & tools used in the project. 
• Always good to mention (if relevant): 
• Scientific papers published, Master Thesis, Bachelor Thesis. 
• Github link, relevant blog articles. 
• Link to LinkedIn profile. 
• Mention skills that are relevant to the job description and you could demonstrate during the interview / tasks in the selection process.  

We appreciate your interest in the company and look forward to your application.

About HighLevel 

HighLevel is an all-in-one, white-label marketing platform for agencies & consultants. Our goal as a business is to create a sustainable, powerful, “all things marketing” operating system that creates limitless opportunities for our customers. With over 20,000 customers, we need people like YOU to help us grow and scale even further in the coming years. We currently have 600+ employees worldwide, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and, above all, encourage a healthy work-life balance for our employees wherever they call home.

Our Website - https://www.gohighlevel.com/ 

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

Role & Responsibilities 

Looking for a senior AI engineer for the platform team. The ideal candidate will be responsible to derive key insights from huge sets of data, build models around those, and take them to production.

• Implementation - 
• Analyze data to gain new insights, develop custom data models and algorithms to apply to distributed data sets at scale
• Build continuous integration, test-driven development, and production deployment frameworks
• Architecture - Design the architecture with the Data and DevOps engineers
• Ownership - Take ownership of the accuracy of the models and coordinate with the stakeholders to keep moving forward
• Releases - Take ownership of the releases and pre-plan according to the needs
• Quality - Maintain high standards of code quality through regular design and code reviews.

Qualifications

• Extensive hands-on experience in Python/R is a must.
• Proficiency in ML/DL frameworks and tools (e. g. Pandas, Numpy, Scikit-learn, Pytorch, Lightning, Huggingface)
• Strong command in low-level operations involved in building architectures for Ensemble Models, NLP, CV (eg. XGB, Transformers, CNNs, Diffusion Models)
• Experience with end-to-end system design; data analysis, distributed training, model optimisation, evaluation systems, for large-scale training & prediction.
• Experience working with huge datasets (ideally in TeraBytes) would be a plus.
• Experience with frameworks like Apache Spark (using MLlib or PySpark), Dask etc.
• Practical experience in API development (e. g., Flask, FastAPI).
• Experience with MLOps principles (scalable development & deployment of complex data science workflows) and associated tools, e. g. MLflow, Kubeflow, ONNX
• Bachelor's degree or equivalent experience in Engineering or a related field of study
• 3+ years of AI engineering experience
• Strong people, communication, and problem-solving skills

What to Expect when you Apply 

• Exploratory Call 
• Technical Round I/II
• Assignment 
• Cultural Fitment Round 

Perks and Benefits

• Impact - Work with scale, our infrastructure handles around 5 Billion+ API hits, 2 Billion+ message events, and more than 40 TeraBytes of data
• Compensation - Best in Industry
• Learning - Work with a team of A-players distributed across 15 countries who move fast (we have built one of the widest products on the market in under 3 years)
• Generous Device Policy - You get a Macbook Pro
• Unlimited Leave Policy
• 1 team offsite every year
• Remote first culture

EEO Statement: At HighLevel, we value diversity. In fact, we understand it makes our organization stronger. We are committed to inclusive hiring/promotion practices that evaluate skill sets, abilities, and qualifications without regard to any characteristic unrelated to performing the job at the highest level. Our objective is to foster an environment where really talented employees from all walks of life can be their true and whole selves, cherished and welcomed for their differences while providing excellent service to our clients and learning from one another along the way! Reasonable accommodations may be made to enable individuals with dis abilities to perform the essential functions.

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)

Company Description

Iksha Labs is a technology company based in Gurugram. We are a strong cross-functional team of designers, software developers, and hardware experts who love creating technology products and services. With our deep expertise across several business verticals, we bring our best practices to ensure a smooth product journey for our clients. We have a passion for healthcare, medical devices, finance, consumer electronics, and other areas where we can build innovative technology solutions. We are constantly learning and expanding our horizons to create novel concepts and products.

Role Description

This is a full-time on-site role for a Machine Learning Engineer at Iksha Labs, located in Gurugram. As a Machine Learning Engineer, your day-to-day tasks will involve pattern recognition, computer science, neural networks, statistics, and algorithms. You will be responsible for developing and implementing machine learning models and algorithms, analyzing data sets, and collaborating with cross-functional teams to deliver high-quality solutions.

Responsibilities:

• Enhance and fine-tune Python code for improved execution speed and memory efficiency, guaranteeing the effective operation of machine learning models in production settings.
• Design methodologies for the periodic updating of machine learning models with fresh data, monitor their performance metrics continuously, and automate the process of model refreshment.
• Set up systems for monitoring and alerts to keep track of the performance, uptime, and overall health of machine learning models in production, addressing any irregularities or issues swiftly.
• Work closely with data scientists and software engineers to seamlessly integrate machine learning models into existing production environments and applications, ensuring smooth deployment and workflow compatibility.
• Establish and uphold guidelines and tools for the versioning, monitoring, and management of machine learning models and their related components across their entire lifecycle.
• Employ SQL and Python for efficient data handling and manipulation, including database querying and enhancement of data retrieval methods.
• Create and sustain detailed documentation for databases, features, codebases, and models to support team collaboration and the sharing of knowledge.
• Engage with diverse teams to ensure that machine learning solutions are effectively incorporated into production systems, with an emphasis on compatibility and scalability.
• Remain abreast of the latest trends in MLOps, DevOps, and associated technologies, adopting innovative tools and practices to advance operational procedures and workflows.
• Offer technical mentorship and support to colleagues, fostering an environment of knowledge exchange and cooperative effort across various disciplines.

Qualifications

• Strong background in pattern recognition, computer science, and statistics
• Experience with SQL
• Experience with cloud platforms such as AWS
• Familiarity with Docker
• Experience with model deployment and monitoring in production environments.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills
• Experience with neural networks and algorithms
• Proficiency in programming languages such as Python or R
• Experience with machine learning frameworks and libraries
• Ability to analyze and interpret complex data sets
• Excellent problem-solving and critical thinking skills
• Strong communication and collaboration skills
• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Experience in the healthcare or finance industry is a plus

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?

• Read our culture book & meet the team: https://cdn.starapps.studio/files/StarApps+Culture+Book.pdf
• Take a look at our products and reviews: https://apps.shopify.com/partners/starapps-studio

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.

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

• 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.

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

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.

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

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.

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.

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. 

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.

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

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

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

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.  

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.

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

• 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

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.

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.

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

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

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.

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

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.

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.

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

·        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

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

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!

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.

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

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

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. 

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.

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.

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

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

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

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

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

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

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.

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.