Top Machine Learning Jobs in India

The Machine Learning Advisor will leverage AI and ML technologies to develop solutions for healthcare transformation, focusing on Generative AI and deep learning architectures.

Lead the AI/ML team to develop anomaly detection and GenAI workflows for regulatory reporting, ensuring model explainability and validation processes. Mentor a team and advocate AI usage to improve operations.

Lead the development and implementation of AI solutions, focusing on NLP and Generative AI, while mentoring a team of engineers and collaborating with cross-functional teams.

The Senior Machine Learning Engineer role involves experimenting with models, performing data cleaning, using AWS services for data pipelines, and collaborating with teams to meet data solution needs.

The Senior ML Engineer will enhance the publishing cycle using AI and ML, focusing on operational efficiency, system reliability, and solution deployment while leading initiatives and mentoring junior engineers.

The Python AIML Developer is responsible for designing, developing, and deploying software solutions leveraging emerging technologies, collaborating with teams, and ensuring quality through code reviews and Agile methodologies.

The Senior Software Engineer will develop and manage Tekion's AI-native automotive platform, focusing on LLM control and classical ML systems, improving dealer outcomes and user experiences.

Lead end-to-end machine learning model development, including data sampling, training, deployment, and evaluation in an Agile environment. Utilize technologies such as Python and Azure to deliver large-scale machine learning solutions.

Lead the design and deployment of advanced machine learning models, mentor junior staff, and drive innovation in AI technology at Ema.

Lead the architecture, development, and deployment of scalable ML and GenAI solutions. Oversee MLOps and collaborate with teams to enhance AI initiatives.

As a Senior Machine Learning Engineer, design, implement, and optimize AI components, collaborate across teams, and ensure the reliability of AI agents in fast-paced environments.

Develop ML solutions for decision-making using advanced modeling techniques. Collaborate with teams, design evaluations, and communicate results effectively. Strong coding skills and familiarity with ML tools required.

As a Junior Software Engineer specializing in AI/ML, you will assist in developing AI-driven applications, optimize Python/Node.js scripts, and enhance ML models for improved customer experience.

Lead a Mumbai AI/ML team to build anomaly-detection models and GenAI (RAG/Agent) workflows for regulatory reporting. Design human-in-the-loop validation, embed explainability in models, build review UIs, work with Model Risk Management, and evangelize AI to operations.

The role involves optimizing compiler performance, designing features for a high-performance architecture, and collaborating with hardware architects and model developers for effective ML inference.

The role involves owning the MLOps infrastructure, migrating detection pipelines, building CI/CD pipelines, and ensuring system reliability in production.

The role involves designing and developing machine learning infrastructure for annotation, evaluation, and training models, focusing on scalable systems and efficient data workflows.

Develop and optimize machine learning models, manage project priorities, and improve real-world solutions using advanced ML techniques.

The AI / ML Platform Engineer will build and maintain MLOps infrastructure on AWS, enabling scalable AI workflows and collaborating with data teams.

Design and develop machine learning infrastructure and models, support product teams, build scalable data services, and promote collaboration within a diverse engineering team.

Join Weave's Machine Learning Team as a Staff ML Engineer to design and develop AI infrastructure, build scalable services, and guide teams in leveraging data for application development.

As a Machine Learning Researcher, you'll lead research in applying ML to trading problems, develop deep learning models, and collaborate with quant researchers.

The Machine Learning Engineer IV will develop advanced algorithms for fraud detection in ID verification, ensuring security and enhancing user experience across various industries.

Lead the scaling of data platforms for robotics, managing data pipelines, ensuring model quality, mentoring engineers, and setting architectural direction.

Lead design and delivery of cloud-native AI applications, fine-tune large language models, establish evaluation standards, and partner with teams for AI features.