3,467 ai ml developer jobs in India.

• Hybrid

... estimated cost, time, and quality within planned scope. Covers management of risks that affect the delivery of project outcomes. Lead the full project lifecycle for AI/ML and GenAI initiatives — scoping, planning, resourcing, execution, and closure — using Agile, Scrum, or hybrid methodologies. Manage cross-functional squads ...

About Costco Wholesale: Costco Wholesale is a multi-billion-dollar global retailer with warehouse club operations in eleven countries. They provide a wide selection of quality merchandise, plus the convenience of specialty departments and exclusive member services, all designed to make shopping a pleasurable experience ...

... intelligence pipelines.- Work with structured and unstructured pharma data such as clinical, regulatory, or scientific datasets.- Adapt and evaluate LLMs for domain-specific use cases.- Collaborate with domain experts to translate business requirements into ML/AI solutions.- Own the ML lifecycle from data preparation through ...

... intelligence pipelines.- Work with structured and unstructured pharma data such as clinical, regulatory, or scientific datasets.- Adapt and evaluate LLMs for domain-specific use cases.- Collaborate with domain experts to translate business requirements into ML/AI solutions.- Own the ML lifecycle from data preparation through ...

... 4–6+ years in product design / UX with real shipped products. Portfolio required - Demonstrable AI product design work — you have designed for LLM-powered or ML-driven features, not just read about them - Native with AI design tooling: Figma Make, v0, Lovable, Cursor, Claude, Midjourney/Sora for concepting. You use AI ...

... expectation maximization). Machine Learning: In-depth understanding of standard Machine Learning algorithms (Trees, Boosting, SVMs, GMMs) with the ability to explain the underlying loss functions and optimizations mathematically. Deep Foundations: Thorough understanding of Multi-Layer Perceptrons (MLPs), mathematical derivation ...

... for model development and apply feature engineering methods Use Azure AI Search to make data and models easier to consume for business needs Coordinate with developers and project managers using GitLab and Jira Refine data pipelines and tune model performance for practical deployments Explain technical ideas effectively ...

... applications. Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with Product Managers, Software Engineers, and ...

• Full-time

... Azure, GCP) and MLOps tools. - Familiarity with vector databases, RAG pipelines, and LangChain or similar frameworks. - Proven track record of delivering Gen AI solutions in production. - Master's in Computer Science, AI/ML, or related field. Experience in domain-specific Gen AI applications (e.g., Experience - 5 + Years ...

... skills and a successful track record of manipulating, processing and extracting value from large and heterogeneous datasets. - Practical experience developing AI/ML or generative-AI solutions, including prompt design, structured outputs and systematic evaluation. - Working knowledge of cloud platforms, preferably AWS, and ...

... regulatory domains Familiarity with MLOps tooling (MLflow, Docker, Kubernetes, Azure DevOps or GitHub Actions) Hands-on experience with agentic AI frameworks (LangChain, LlamaIndex, Semantic Kernel), LLM evaluation tooling, and production deployment of GenAI applications Knowledge of responsible AI practices, including fairness, ...

... evaluate, and scale predictive models using XGBoost, LightGBM, and Deep Learning for underwriting, credit line assignment, and collections. Familiarity with gen-AI techniques for feature creation and transaction tagging on bank transactional data is a plus. - Credit Risk Modeling: Build credit risk models for sub-prime and ...

• Hybrid

... Graduate degree or equivalent experience.- PhD or Masters degree in computer science, Machine Learning, or related field.- 10+ years of experience in applied AI/ML with statistics, with a strong track record of delivering production-grade models.- Deep expertise in NLP, Fundamental machine learning, deep learning, transformer, ...

• Hybrid

... NumPy, Scikit-learn, ML/DL frameworks) SQL (advanced queries, optimization) PySpark (distributed data processing) Experience in building, deploying, and evaluating ML models Strong problem-solving skills with the ability to work in a hybrid setup Responsibilities Develop and optimize ML/GenAI models for business use cases Work ...

... technical specifications. Experience with Whiz AI or product-based environments is preferred. A strong product mindset is mandatory. Candidates who have worked for Saas and UI/UX products Business Analyst who has used AI/ML OR LLMs, OR agentic AI. Super good communication Single round of interview – direct with Client

About the role — We are seeking a skilled Data Scientist to join our team, focusing on the development and implementation of advanced AI models. The ideal candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop ...

60k

... frameworks (e.g., Experience with microservices architecture, message brokers (e.g., Experience with RPA tools or frameworks (e.g., Experience with Generative AI technologies, including working with frameworks like TensorFlow, PyTorch, or Hugging Face, and integrating AI/ML models into software applications. - Experience ...

$375 USD

... AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. We've raised ...

... business problems in the oil and gas industry. Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring. Develop GenAI/NLP applications, and/or time-series, computer vision, commercial analytics models. Build production-ready solutions applying MLOps best practices (MLflow, CI/CD, ...

• Full-time

... We're Looking For:Must Have:- 5+ years of Product Management experience.- 2+ years of hands-on experience working with AI/ML/GenAI products.- Experience taking an AI product from idea to MVP to production to optimisation.- Strong analytical and data-driven approach.- Strong understanding of LLMs, Generative AI, AI agents, RAG, ...