1,000+ Remote Machine Learning Jobs in India

This LinkedIn job board aggregates over 1,000 open remote Machine Learning (ML) and Artificial Intelligence (AI) roles based in India, catering to professionals across all experience levels from entry-level to senior and leadership positions. Open positions span a wide range of specializations including classical machine learning engineering, large language model (LLM) development, foundation model engineering, AI research, and applied ML for product use cases. Roles are hosted by a diverse set of employers including tech startups, global enterprise product teams, and AI research labs operating out of India, with full flexibility to work remotely from any location in the country. Common responsibilities across listed roles include designing and training ML models, building and optimizing LLM pipelines, performing data analysis and feature engineering, deploying ML solutions to production environments, and collaborating cross-functionally with product, engineering, and data teams to drive AI-powered product improvements. All roles offer competitive compensation packages aligned with Indian market standards for ML and AI talent, with many employers also providing additional benefits including learning stipends, flexible work hours, and comprehensive health insurance.

• Proven experience in machine learning, AI engineering, or related technical roles, with strong proficiency in Python programming and core ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.)
• For specialized LLM and foundation model roles: hands-on experience working with large language models, prompt engineering, model fine-tuning, and RAG pipeline development
• Solid understanding of classical ML algorithms, data preprocessing, feature engineering, and model evaluation metrics
• Ability to work independently in a fully remote setup, with strong written and verbal communication skills for cross-team collaboration
• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related technical field (some roles may accept equivalent practical experience in lieu of formal education)
• Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools for model deployment and monitoring is a plus for senior and infrastructure-focused roles