50+ Remote Machine Learning (ML) Jobs in India

Branch Overview

Branch delivers world-class financial services to the mobile generation. With offices in San Francisco, Lagos, Mumbai, Nairobi, and Tanzania, Branch is a for-profit, socially conscious company that uses the power of data science to reduce the cost of delivering financial services in emerging markets. We believe that everyone, everywhere, deserves fair financial access. The rapid spread of smartphones presents an opportunity for the world’s emerging middle class to access banking options and achieve financial flexibility. 

The founder and former CEO of Kiva.org leads the Branch’s mission-driven team. The company presents a rich opportunity for our team members to drive meaningful growth in rapidly evolving and changing markets. Most recently, Branch announced our Series C and has garnered more than $100M in funding with investments from leading Silicon Valley firms.

We value diversity and are committed to providing an inclusive working environment where human beings of all backgrounds can thrive. 

Job Overview

Branch launched in India in early 2019 and has seen rapid adoption and growth. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and Data Scientists to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.

Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.

As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.

Here are some things you’ll do

• Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.
• Customer Service: Using machine learning and NLP, automate customer service interactions and provide context to our customer service team.
• Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.
• Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.

Minimum Requirements

We’re looking for a motivated and versatile engineer who understands the needs of a startup.

• 8+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.
• Experience coordinating and collaborating with various business stakeholders and company leadership on critical functional decisions and technical roadmap.
• Excellent software engineering and programming skills, especially Python and SQL.
• A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.
• A deep understanding of using cloud computing infrastructure and data pipelines in production.
• Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.
• Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.
• The drive to make a positive impact on customers' lives.

Benefits of Joining

• Mission-driven, fast-paced and entrepreneurial environment
• Competitive salary and equity package
• A collaborative and flat company culture
• Remote first, with the option to work in-person occasionally
• Fully-paid Group Medical Insurance and Personal Accidental Insurance
• Unlimited paid time off including personal leave, bereavement leave, sick leave
• Fully paid parental leave - 6 months maternity leave and 3 months paternity leave
• Monthly WFH stipend alongside a one time home office set-up budget
• $500 Annual professional development budget 
• Discretionary trips to our offices across the globe, with global travel medical insurance 
• Team meals and social events- Virtual and In-person

Branch International is an Equal Opportunity Employer. The company does not and will not discriminate in employment on any basis prohibited by applicable law. We’re looking for more than just qualifications -- so if you’re unsure that you meet the criteria, please do not hesitate to apply!

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.

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.

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.

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.

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.

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

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

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.

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

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

We are looking for a resource with 2-4 years of experience in Full stack with Python and Vue.js with ML/AI skills. As a developer, you’ll gain valuable management experience delegating responsibilities to the rest of your team and reviewing the work of junior developers.

Requirement:

• Bachelor’s Degree in Computer Science (good to have).
• 2+ years’ experience in web and software development
• Ability to work independently and multi-task effectively
• Demonstrated understanding of projects from the perspective of both client and business(preferably from cybersecurity domain).

Technical Skills required:

• Node Js,
• Vue.JS
• ML/AI
• Python
• Agile Development

Roles & Responsibilities:

• Develops software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes; investigating problem areas; and following the software development lifecycle.
• Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code.
• Prepares and installs solutions by determining and designing system specifications, standards, and programming.
• Improves operations by conducting systems analysis and recommending changes in policies and procedures.
• Meeting deadlines.
• Accomplishes engineering and organization mission by completing related results as needed.
• Troubleshoot, debug and upgrade existing software

Job Type: Full-time

Salary: OPEN

Benefits:

• Flexible schedule
• Paid sick time

This is a fast filling role.

• A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
• Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
  • ML orchestration - how can I automate my ML workflows across multiple environments
  • Scalability - how can I take advantage of the huge computational power available in the cloud?
  • Serving - how can I make my ML models available to make predictions reliably when needed?
  • Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
  • Reuse – how can I profess reuse of artefacts built and establish templates and patterns?

The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.

A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.

Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.

Responsibilities will include:

• Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
• Designing cloud ML architectures and provide a roadmap for flexible patterns
• Optimizing solutions for performance and scalability
• Leading and driving the evolving best practices for MLOps
• Helping to showcase expertise and leadership in this field

Tech stack

These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.

• Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
• Microsoft Azure Platform - primarily focused on Databricks, Azure ML
• Containers
• CI/CD – Azure DevOps
• Strong programming skills in Python
• Solid understanding of cloud concepts
• Demonstrable interest in Machine Learning
• Understanding of IaC and CI/CD concepts
• Strong communication and presentation skills.

Remuneration: Best in the industry

Connect: https://www.linkedin.com/in/shweta-gupta-a361511

  Strong knowledge in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc. 

 Sound Knowlegde querying databases and using statistical computer languages: R, Python, SQL, etc. 

 Strong understanding creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. 

Job description:

• Selecting features, building and optimizing classifiers using machine learning techniques
• Mining data as and when required
• 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
• Efficient stakeholder management

Skills and Qualifications

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Experience with common data science toolkits. 
• Great communication skills
• Experience with data visualisation tools
• Proficiency in using query languages such as SQL
• Good scripting and programming skills 
• Data-oriented personality
• B.Tech, M.Tech, B.S., M.S., MBA 

Requirement / Desired Skills

Data Scientist --  Data mining skills , SQL, Advanced ML Techniques, NLP (natural Language Processing)

• Work closely with your business to identify issues and use data to propose solutions for effective decision making
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
• Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
• Querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
• Test data mining models to select the most appropriate ones for use on a project
• Work in a POSIX/UNIX environment to run/deploy applications
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Horizon scan to stay up to date with the latest technology, techniques and methods
• Coordinate with different functional teams to implement models and monitor outcomes.
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

• Able to create algorithms to extract information from large data sets
• Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
• Experience with extracting and aggregating data from large data sets using SQL or other tools
• Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
• Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
• Knowledge of Machine Learning techniques and their respective pros and cons
• Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
• Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
• Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
• Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
• Hands-on experience on C#, Javascript, .Net
• Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
• Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
• Strong knowledge of computer science, algorithms, and design patterns
• Strong oral and written communication, and other soft skills critical to collaborating and engage with teams

About the job

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
• 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary
• Work Remotely
• Health insurance
• Unlimited Time Off
• Support for continual learning (free books and online courses)
• Reimbursement for streaming services (think Netflix)
• Reimbursement for gym or physical activity of your choice
• Flex hours
• Leveling Up Opportunities

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

About Us :

Docsumo is Document AI software that helps enterprises capture data and analyze customer documents. We convert documents such as invoices, ID cards, and bank statements into actionable data. We are work with clients such as PayU, Arbor and Hitachi and backed by Sequoia, Barclays, Techstars, and Better Capital.

As a Senior Machine Learning you will be working directly with the CTO to develop end to end API products for the US market in the information extraction domain.

Responsibilities :

• You will be designing and building systems that help Docsumo process visual data i.e. as PDF & images of documents.
• You'll work in our Machine Intelligence team, a close-knit group of scientists and engineers who incubate new capabilities from whiteboard sketches all the way to finished apps.
• You will get to learn the ins and outs of building core capabilities & API products that can scale globally.
• Should have hands-on experience applying advanced statistical learning techniques to different types of data.
• Should be able to design, build and work with RESTful Web Services in JSON and XML formats. (Flask preferred)
• Should follow Agile principles and processes including (but not limited to) standup meetings, sprints and retrospectives.

Skills / Requirements :

• Minimum 3+ years experience working in machine learning, text processing, data science, information retrieval, deep learning, natural language processing, text mining, regression, classification, etc.
• Must have a full-time degree in Computer Science or similar (Statistics/Mathematics)
• Working with OpenCV, TensorFlow and Keras
• Working with Python: Numpy, Scikit-learn, Matplotlib, Panda
• Familiarity with Version Control tools such as Git
• Theoretical and practical knowledge of SQL / NoSQL databases with hands-on experience in at least one database system.
• Must be self-motivated, flexible, collaborative, with an eagerness to learn

What we do:

Have you ever tried creating a good video? It's hard. Really hard. We know a thing or two about it because our team is comprised of filmmakers and engineers who have spent the last 20 years of our lives in the motion picture, advertising, and television industry. Today, stitching together a production-ready video poses a litany of challenges: uploading assets from multiple sources, soliciting input from multiple departments, maintaining version control, and getting sign-off on final releases. As you can guess, a lot of this workflow has been happening across multiple tools. Desynova unifies the assets and the conversation. We're aiming to become the media collaboration layer for the entire internet.

Culture:

Rule number one: be a good person. We have a passion for technology and Film/Video making. This is not just a job, it's an opportunity to do what you love every day, stimulate your mind, be challenged, and build an app that allows thousands of creators all over the world to connect with one another and create stunning films, television shows, and works of art.

As part of the Product Management Team, you will help strategize and design our products, manage the end-to-end execution of product features, and contribute to product vision and strategy.

Responsibilities

• Understanding and analyzing user needs. Define and validate use case scenarios with statistics and metrics.
• Maintaining a deep understanding of the competitive landscape and trends
• Validating and pitching new product ideas
• Defining features through detailed specifications and user stories
• Creating elaborate mock-ups and wireframes with industry standard prototyping tools (Optional)
• Working with design and engineering teams through feature implementations
• Maintaining timelines and keeping all stakeholders updated
• Defining success metrics and analyzing product performance
• Basic understanding of how to read code, code comments and verify business logic during code reviews.
• Basic understanding of APIS, how to read & understand them, Verify the API response as per product & business requirements
• Ability to talk extensively about features and product during live demos

Qualification

• Deep passion for building software products and services
• Basic understanding of how to read code, code comments and verify business logic during code reviews.
• Uncanny product sense on how to marry technology and design to solve user needs in a practical manner
• Excellent problem solving and analytical skills combined with a strong business and technical acumen
• Bias for action and can break down complex problems into steps that help drive product development
• Immaculate oral and written communication skills

Helpful Skills

• Worked on an iOS app, from design to development to testing to deployment
• Worked on an Android app, from design to development to testing to deployment
• Worked with AI/ML projects such as Face Detection Recognition, NER, NLP, etc
• Worked with elastic search, able to write, read and modify elastic queries
• Worked with Jira
• Worked with GitHub
• Worked with Google MS Sheets
• Good with presentations.
• Good to know python, mongoDB, Js, basic HTML/CSS

We are looking for an ambitious Co-founder and CTO to join and support our growth at Spacenos. The Person we are looking for will fill an entrepreneurial C-Level role and will enrich our team with the product development and delivery skills.

Skills Required

• 3+ years of experience as a technology leader. 
• Skilled in Java, ReactJs, Firebase, Google Cloud.
• Applied knowledge of Cloud Security, AWS, Machine Learning, AI and Tensorflow.
• Strong communication and team management skills. 
• Excellent resource handling and understanding of scaling principles. 

Roles and Responsibilities

• Develop and understand technological roadmap
• Develop feature rollout systems and processes
• Hire and manage outside/contracted engineering talent
• Structure and lead teams, individuals, and cross-functional relationships in a way that ensures productivity and communication.
• Collaborate with other teams to optimize user experience of products.
• Drive modern engineering principles and practices by implementing relevant techniques, processes, and best practices
• Clearly articulate plans and projects to both senior level executives and more junior team members.

Spacenos is the fastest-growing start-up which is innovating in the finance, edtech and marketing domain since 2015 and won multiple awards and recognitions from more than 40+ MNCs and Fortune 500 companies. Our Clients are based out of the U.S.A and Australia. We are funded & Supported by Government of Karnataka, Angel Investors and International Grants.

1. Apply for your CV and past work to be reviewed.
2. Receive a telephonic interview or assessment upon filling the final step form.

3. Receive offer letter if selected.

Our hiring process takes less than 24 hours from the time you receive the Final Step form.

Validity: Up to Dec 2023

- Apply soon, the earliest applicant would be preferred over the late applicants.

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

Skills: Machine Learning,Deep Learning,Artificial Intelligence,python.

Location:Chennai


Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

·         To be part of Digital Manufacturing and Industrie 4.0 projects across Saint Gobain group of companies

·         Design and develop AI//ML models to be deployed across SG factories

·         Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required

·         Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks

·         Prior experience in developing AI and ML models is required

·         Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

·         Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics

·         Multitasking, good communication necessary

·         Entrepreneurial attitude.

Responsibilities include: 

• Convert the machine learning models into application program interfaces (APIs) so that other applications can use it
• Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
• Build data ingestion and data transformation infrastructure
• Automate infrastructure that the data science team uses
• Perform statistical analysis and tune the results so that the organization can make better-informed decisions
• Set up and manage AI development and product infrastructure
• Be a good team player, as coordinating with others is a must

JOB SKILLS & QUALIFICATIONS

WHAT YOU'LL DO

• Design model serving solutions and develop machine learning-based applications. services, and APIs so as to productionise machine learning models.
• Set and maintain engineering standards while to grow and go far.
• Partner with the Data Scientists (those who actually build, train and evaluate ML models) to provide an end-to-end solution for machine learning-based projects.
• Foster the technological evolution of services and improve their end-to-end quality attributes.
• Be committed to Continuous Integration and Continuous Deployment.

 Preferred Skills

• Familiarity with the engineering aspects of some of popular machine learning practices, libraries, and platforms (e.g. MLflow, Kubeflow, Mleap, Michelangelo, Feast, HopsWorks, MetaFlow, Zipline, Databricks, Spark, MLlib, PyTorch, TensorFlow, and Scikit-learn among others).
• Comfortable dealing with trade-offs project delivery and quality, especially those involving latency, throughput, and http://transactions.proven/">transactions.
• Experience Continuous Integration & Continuous Deployment processes and platforms, software design patterns and APIs.
• A person that enjoys staying on top of all the best practices and tools of modern software engineering, while being a advocate of code quality and continuous improvement.
• Someone interested in large-scale systems and passionate about solving complex problems while being open and comfortable with changes in the tech stack the teams use.

Causality Biomodels is an Indo-German life science informatics company that focuses on the development of data-based solutions in the bioinformatics sector. Specifically, we work using semantic integration & information extraction methods, knowledge & data organization, and advanced statistical & machine learning techniques in the context of life sciences.

The team Causality Biomodels is searching for a full stack developer with a strong focus on Python, capable of taking on a lead developer role.

You will be mainly focusing on the following areas:

• Implementing new features by modifying our backend system and UI according to the product backlog and discussions with the team.
• Rapid prototyping to explore new directions based on current research developments.
• Design, development and maintenance of APIs, as well as product and add-on components.
• Maintenance of code integrity and organization.

The requirements are:

• Successfully completed bachelor’s or master’s degree in computer science or in related fields such as Bioinformatics.
• At least 2 years of professional software engineering experience.
• High proficiency in Python and ability to write clean and well-documented code (must).
• Experience with cloud-based development using AWS (preferred), GCP or Azure.
• Experience with Docker and container-based deployment.
• Proficiency in JavaScript.
• Experience with at least one database system (SQL or no-SQL).
• High familiarity with Git.
• Experience with agile development practices.
• Experience with CI/CD and automated testing.
• Very strong English skills (both verbal and written).

Bonus points for:

• Knowledge about machine learning or data science.
• Experience with Python packages SpaCy, scikit-learn, flask and fastapi.
• Experience with JavaScript libraries React and Redux/Context.
• Experience with Gitlab CI/CD pipelines.
• Experience working with knowledge graph data.
• Knowledge and experience in bioinformatics methods.

Job Responsibilities:-

• Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
• Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
• Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
• Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
• Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
• Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
• Experience working with big data systems and big data concepts.
• Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
• Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
• Experience with noisy and/or unstructured textual data.

knowledge graph and NLP including summarization, topic modelling etc

• Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
• Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
• Strong understanding of text pre-processing and normalization techniques, such as tokenization,
• POS tagging and parsing and how they work at a low level.
• Excellent problem solving skills.
• Strong verbal and written communication skills
• Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
• Practical experience in using NLP related techniques and algorithms
• Experience in open source coding and communities desirable.

Able to containerize Models and associated modules and work in a Microservices environment

This person MUST have:

• B.E Computer Science or equivalent
• 5 years experience with the Django framework
• Experience with building APIs (REST or GraphQL) 
• Strong Troubleshooting and debugging skills
• React.js knowledge would be an added bonus 
• Understanding on how to use a database like Postgres (prefered choice), SQLite, MongoDB, MySQL.
• Sound knowledge of object-oriented design and analysis.
• A strong passion for writing simple, clean and efficient code.
• Proficient understanding of code versioning tools Git.
• Strong communication skills.

Experience:

• Min 5 year experience
• Startup experience is a must. 

Location:

• Remote developer

Timings:

• 40 hours a week but with 4 hours a day overlapping with client timezone.  Typically clients are in California PST Timezone.

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

Job Responsibilities:

• Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
• Understanding the business objectives & defining the right target metrics to track performance & progress.
• Defining & building datasets with the appropriate representation techniques for learning.
• Training & tuning models. Running evaluation & test experiments on the models.
• Build ML pipelines end to end. (Everything MLOps.)
• Building pipelines for the various stages.
• Deploying models.
• Troubleshooting issues with models in production.
• Reporting results of model performance in production.
• Retraining, performance logging & maintenance.
• Help the business with insights for better decision-making. You will build many predictive models for internal business operations
  you will derive insights from the trained models & data to help the product & business teams make better decisions.

Requirements:

• 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
• Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
• Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
• Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc.  Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
• Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
• Experience with ML infrastructure & shipping models.
• Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
• Strong understanding of database systems & schema design. Proficient in SQL

Please let us know if you are interested in the above opening and if interested please let us know your

Current CTC :

Expected CTC :

Notice Period :

Relevant experience in  Machine Learning :

Relevant experience in Deep Learning:

Relevant experience in NLP Applications:

Regards

Ashwini