5,590 Machine Learning jobs in India

At WTMF , we’re on a mission to build not just an AI app, but an AI bestie — someone you can journal with, share your moods, plan your days, or just talk to when you need it. To make that work, we need a Machine Learning Engineer who can turn ideas into working systems that scale.

This isn’t about research that lives in a PDF. It’s about taking models, making them efficient, and putting them in the hands of real people across the globe.

Someone who:

• Knows their way around ML pipelines like others know their way around Google Maps.
• Gets a thrill out of optimizing inference speed or reducing model size.
• Can wrangle messy datasets without losing patience (or hair).
• Thinks “deployment” is where the real fun begins.

• Build and optimize ML pipelines that power our journaling, mood tracking, and conversational features.
• Work with LLMs, embeddings, and classifiers to make WTMF smarter over time.
• Turn messy, real-world data into structured insights our AI can learn from.
• Collaborate with AI/ML researchers, backend engineers, and product designers to bring features from idea to production.
• Keep an eye on performance, scalability, and cost so our models run fast, smooth, and responsibly.

• Solid experience with ML frameworks (PyTorch, TensorFlow, or similar).
• Comfort with building and deploying ML systems end-to-end.
• Strong data engineering fundamentals (ETL, feature pipelines, distributed systems).
• Good grasp of statistics and optimization (you know why the model overfit before anyone asks).
• Bonus: hands-on work with cloud platforms (AWS/GCP/Azure) and MLOps tools.

• You’ll be making ML work in the wild — powering an AI companion that users actually talk to every day.
• You’ll see your models improve real conversations, not just benchmarks.
• Competitive pay, equity options, and the freedom to work remotely.
• A small, ambitious team where your contributions shape the product directly.

Glance - An InMobi Group Company

Founded in 2019, Glance is a consumer technology company that operates disruptive digital platforms including Glance, Roposo, and Nostra. Glance’s ’smart lock screen’ inspires consumers to make the most of every moment by surfacing relevant experiences without the need for searching and downloading apps. Glance Lock Screen is currently available on over 450 million smartphones worldwide. Roposo is a LIVE platform that is revolutionizing live experiences, through a unique, immersive, creator-led approach. Nostra is the largest gaming platform in India and Southeast Asia, offering gamers engaging ways to discover, play, watch, learn and compete.

Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information visit glance.com, nostra.gg, and roposo.com

What should you know about joining Glance?

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!

What You Will Be Doing

As a Machine Learning Engineer , you will help design, develop, and deploy scalable ML systems and services that power consumer experiences across Glance platforms. You will work closely with Data Scientists and cross-functional teams to drive ML solutions from ideation to production.

Key Responsibilities:

• Architect and implement end-to-end ML pipelines for experimentation, model development, and deployment.
• Build microservices and APIs to serve ML models and AI-driven features.
• Design and develop proof-of-concepts and scalable AI/ML-based products.
• Collaborate with product, engineering, and content (newsroom) teams to define, test, and launch new ML features.
• Explore and integrate new tools, platforms, algorithms, and ML frameworks.
• Own project delivery with a focus on performance, reliability, and scalability.
• Document solutions and communicate effectively with stakeholders.

What We’re Looking For

• 5+ years of hands-on experience as an ML Engineer, with a track record of delivering real-world ML solutions.
• Strong background in Computer Science, Mathematics, or Statistics (Bachelor’s, Master’s, or PhD).
• Proven ownership of end-to-end ML projects, from prototype to production.
• Solid experience working with Recommender Systems and personalization.
• Proficiency in Python , Golang , Spark , and related open-source ML/data frameworks.
• Strong understanding of statistics, algorithms , and applied math.
• Ability to work independently and collaboratively in cross-functional teams.
• Excellent technical documentation and communication skills.
• Experience in a research-driven or data science-intensive environment is a plus.

Job description

Job Title: Machine Learning Engineer

Salary: Upto INR 25,000 per month, all-inclusive. Contract employment.

Location: (Remote)

Experience: Minimum 2 years in machine learning / data science.

About Us:

We have built

and we are Amalaan India Pvt Ltd , a 4-year-old, dynamic and forward-thinking company focused on leveraging cutting-edge technology to solve complex problems in data processing and machine learning.

We are building out SaaS solutions for our global B2B and B2C clients and customers. Each solution we provide is unique. We are a product development company (not a body shop). This means, you will always be faced with new challenges and exciting opportunities to grow your knowledge on how successful products are built in the real world.

About the Role:

We’re looking for a Machine Learning Engineer who can take models from idea to production. You’ll work on datasets across different domains, experiment with modern ML techniques, and help build intelligent features into our SaaS products.

This role is ideal for someone who loves both the theory and practice of ML — from building models to deploying them at scale.

What You’ll Do:

• Build, train, and validate ML models for real-world applications.
• Preprocess, clean, and analyze structured/unstructured datasets.
• Work with deep learning frameworks (PyTorch / TensorFlow) and traditional ML libraries (scikit-learn).
• Collaborate with product and engineering teams to integrate models into production.
• Optimize models for speed, scalability, and reliability.
• Document workflows, experiments, and results.
• Stay updated with the latest research and tools in ML/AI.

What We’re Looking For:

• Minimum 2 years of experience in machine learning / data science.
• Strong Python skills with hands-on experience in ML libraries.
• Experience with at least one deep learning framework (PyTorch / TensorFlow).
• Understanding of data preprocessing, feature engineering, and evaluation metrics.
• Familiarity with cloud ML services (AWS/GCP/Azure) is a plus.
• Knowledge of MLOps tools (Docker, MLflow, CI/CD) is an advantage.
• Strong problem-solving skills and ability to work independently.

What We Offer:

• The latest in AI and ML tools and technologies to work with.
• An inclusive and innovative work environment.
• Opportunities for professional growth and development.
• Competitive salary and benefits package.
• Flexible working hours, remote and work-from-home options.

How to Apply:

• Apply via LinkedIn
• Send your resume and cover letter to
• Include links to your GitHub/Kaggle projects or ML work (preferred)

Job Summary

We are looking for a highly skilled Technical Architect with expertise in AWS, Generative AI, AI/ML, and scalable production-level architectures. The ideal candidate should have experience handling multiple clients, leading technical teams, and designing end-to-end cloud-based AI solutions with an overall experience of 9-12 years.

This role involves architecting AI/ML/GenAI-driven applications, ensuring best practices in cloud deployment, security, and scalability while collaborating with cross-functional teams.

Key Responsibilities

Technical Leadership & Architecture

• Design and implement scalable, secure, and high-performance architectures on AWS for AI/ML applications.
• Architect multi-tenant, enterprise-grade AI/ML solutions using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.
• Lead full lifecycle development of AI/ML/GenAI solutions—from PoC to production—ensuring reliability and performance.
• Define and implement best practices for MLOps, DataOps, and DevOps on AWS.

AI/ML & Generative AI Expertise

• Design Conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan.
• Optimize LLM inference pipelines, embeddings, vector search, and hybrid retrieval strategies for AI-based applications.
• Drive ML model training, deployment, and monitoring using AWS SageMaker and AI/ML pipelines.

Cloud & Infrastructure Management

• Architect event-driven, serverless, and microservices architectures for AI/ML applications.
• Ensure high availability, disaster recovery, and cost optimization in cloud deployments.
• Implement IAM, VPC, security best practices, and compliance.

Team & Client Engagement

• Lead and mentor a team of ML engineers, Python Developer and Cloud Engineers.
• Collaborate with business stakeholders, product teams, and multiple clients to define requirements and deliver AI/ML/GenAI-driven solutions.
• Conduct technical workshops, training sessions, and knowledge-sharing initiatives.

Multi-Client & Business Strategy

• Manage multiple client engagements, delivering AI/ML/GenAI solutions tailored to their business needs.
• Define AI/ML/GenAI roadmaps, proof-of-concept strategies, and go-to-market AI solutions.
• Stay updated on cutting-edge AI advancements and drive innovation in AI/ML offerings.

Key Skills & Technologies

Cloud & DevOps

• AWS Services: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS
• MLOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions, Terraform, CDK)
• Security: IAM, VPC, CloudTrail, GuardDuty, KMS, Cognito

AI/ML & GenAI

• LLMs & Generative AI: Bedrock (Claude, Mistral, Titan), OpenAI, Llama
• ML Frameworks: TensorFlow, PyTorch, LangChain, Hugging Face
• Vector DBs: OpenSearch, Pinecone, FAISS
• RAG Pipelines, Prompt Engineering, Fine-tuning

Software Architecture & Scalability

• Serverless & Microservices Architecture
• API Design & GraphQL
• Event-Driven Systems (SNS, SQS, EventBridge, Step Functions)
• Performance Optimization & Auto Scali

Hiring: MLOps Engineer | Bangalore (Hybrid – 4 Days WFO)

Job Title: MLOps Engineer

Location: Bangalore (Hybrid – 4 days work from office)

Job Type: Full-Time

Experience: 3+ years

About the Role

We are looking for a passionate MLOps Engineer who can bridge the gap between Data Science and Production systems. You’ll work with Data Scientists, DevOps, and Software Engineers to build scalable ML infrastructure, automate workflows, and ensure smooth deployments.

Key Responsibilities

• Design, develop & maintain CI/CD pipelines for ML models
• Collaborate with Data Scientists to deploy scalable ML solutions
• Automate validation, retraining & monitoring pipelines
• Ensure reliability, security & scalability of ML infrastructure
• Manage containerized ML apps using Docker & Kubernetes
• Monitor model performance & data drift in production

Required Skills

• 3+ years in MLOps / DevOps / ML Engineering
• Strong in Python, Bash & scripting
• Experience with ML platforms (MLflow / Kubeflow / SageMaker)
• Cloud expertise (AWS / Azure / GCP )
• CI/CD tools (Jenkins, GitHub Actions, etc.)
• Mandatory: Experience in Psypark

Preferred Skills

• IaC tools (Terraform)
• Data engineering / ETL pipelines
• Monitoring tools (Prometheus, Grafana)

Why Join?

• Work at the intersection of AI, DevOps & Scalability
• Contribute to production-grade ML systems
• Growth-focused role with cutting-edge tech exposure

Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Group’s diverse businesses in electronics, entertainment, and financial fields. For our research centre to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of research and engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India is offering outstanding career opportunities around frontline technologies such as AI and data analytics.

We are looking for a highly motivated research consultant who can assist in our research and development efforts on large-scale user engagement predictive models. The ideal candidate should have prior experience in Deep Learning, Natural Language Processing.

Key Responsibility:

• Developing models to analyze user behavior patterns on OTT platforms and predicting their likelihood of leaving, along with plausible reasons behind their behavior.

• Building causal inference–based intervention models aimed at retaining users on the platform.

• Contributing to developing and evaluating models (including user engagement foundation model) leveraging pre-trained LLMs.

• Work closely with other research scientists, engineers, and product teams fostering a collaborative and intellectually stimulating environment.

• Contribute to millions of OTT platform users towards improving their experience by leveraging AI capabilities.

• Contribute to the research community by sharing insights and participating in external academic workshops and conferences.

Work Location:

• Remote within India,

Duration of the paid contractual role:

• The annual paid direct contractual tenure is extendable.
• Ideally this position will start from second week September 2025.
• The working hours are from 9:00 to 18:00 (Monday to Friday) full-time.

Essential Education:

• Pursuing or completed masters or bachelor’s in computer science or similar background.

Must Have Skills & Abilities:

• A strong background in applied deep learning and machine learning, both in terms of conceptual understanding, as well as practical experience.
• A good understanding on handling large scale datasets with SQL.
• Understanding about current start of the art machine learning literature.
• Prior experience in developing large scale prediction and reasoning models.
• Strong knowledge and interest in LLMs (fine-tuning, training and using LLMs).
• Proficiency in hands-on with Python and one or more popular deep learning framework.
• Ability to envision new ideas and proving them through theory and/or experiments.
• Knowledge of working on any cloud platform, preferably AWS, is desirable.

Good to Have Skills:

• 0-1 year of work experience in building and deploying large-scale predictive models in production.
• 0-1 year of work experience in LLM/NLP projects within a start-up environment.
• Good publication record, with publications in major machine learning conferences (e.g. NeurIPS, ICML, KDD, AAAI, SIGIR, RecSys, WSDM, ICDM, ECML, etc.).

Our Values:

• Dreams & Curiosity: Pioneer the future with dreams and curiosity.
• Diversity: Pursue the creation of the very best by harnessing diversity and varying viewpoints.
• Integrity & Sincerity: Earn the trust for Sony brand through ethical and responsible conduct.
• Sustainability: Fulfil our stakeholder responsibilities through disciplined business practices.

Sony Research India is committed to equal opportunity in all its employment practices, policies and procedures and to ensuring that no worker or potential worker will receive less favourable treatment due to any characteristic protected under applicable local laws.

Exp:3+ years

Budget: 18 lpa

Key Responsibilities:

• Design and implement ML models for personalization, recommendations, NLP, and agentic AI systems.
• Build, test, and deploy ML models to production.
• Create and optimize feature engineering pipelines.
• Collaborate with cross-functional teams to integrate ML solutions.
• Monitor and improve model performance.

Required Skills:

• Strong Python skills (NumPy, Pandas, Scikit-learn).
• Deep learning with PyTorch or TensorFlow.
• Experience with recommendation libraries (LightFM, Surprise).
• Knowledge of LangChain/AutoGPT for agentic AI.
• NLP expertise with Hugging Face Transformers.
• Experience deploying ML models to production.

Qualifications:

• Advanced degree in Computer Science, ML, or related field.
• 3+ years of relevant ML/AI experience.