Top Machine Learning Jobs in India

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

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

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

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

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

Develop AI and machine learning models for healthcare data analysis, including anomaly detection. Collaborate with teams to integrate solutions and ensure compliance with standards.

The Technical Lead is involved in business transformation and product development, focusing on digital strategy and engineering across various industries.

The Senior Software Engineer - Machine Learning will design, build, and deploy ML systems, working with telemetry data and collaborating with cross-functional teams.

Lead the design and deployment of advanced AI/ML solutions, mentor teams, optimize model performance, and integrate new frameworks.

The Machine Learning Engineer III will develop advanced machine learning and deep learning solutions for data extraction in ID verification. Responsibilities include designing algorithms, deploying models, and collaborating with teams to enhance security and user experience.

Seeking a Machine Learning Engineer to work on workforce development and artificial product development, applying machine learning and deep learning concepts.

Design and optimize large-scale systems and operate AI prototypes. Focus on backend development using modern microservices and handle large datasets with performance analysis.

Lead projects in machine learning, collaborating with engineers and data scientists, defining technical roadmaps, and implementing scalable solutions in AI technologies.

Develop and optimize machine learning models for ad technology, manage ML infrastructure, perform data analysis, and collaborate with teams to improve systems.

The Staff Software Engineer will design and deploy ML algorithms, manage large data, and lead team efforts to enhance product offerings.

The Sr. Software Engineer will design machine learning algorithms, handle large unstructured data, and build data pipelines for e-commerce and consumer trends.

Lead the design and development of AI solutions, manage model lifecycle, collaborate with teams, and mentor junior engineers.

This role involves developing real-world applications using modern AI models and LLM frameworks, focusing on deployment and implementation of AI features.

The Senior Engineer II-Software AI/ML will design and implement AI models, optimize applications for edge computing, collaborate with teams, and maintain software solutions while adhering to best practices.

The role involves developing and managing AI/ML backend systems, optimizing performance for large-scale products, and collaborating with applied ML teams.

The MLOps Engineer will design, build, and operate ML workflows on AWS, ensuring model reliability and compliance while collaborating with teams to enhance healthcare outcomes.

The Staff Engineer will design and build backend services for AI/ML solutions, focusing on performance, reliability, and collaboration with ML teams. Responsibilities include implementing retrieval systems, optimizing ML workflows, and ensuring observability.