Top Machine Learning Engineer Jobs in Mumbai

Lead the development of machine learning products by driving technical direction, designing data pipelines, and collaborating with teams to innovate solutions in consumer finance.

The Machine Learning Scientist will manage ML projects, conduct experiments, analyze performance, and stay updated on ML trends to drive the development of intelligent systems.

As a Senior Machine Learning Scientist, you will build and maintain ML systems, develop LLM solutions, and mentor team members. You will work on data pipelines, model training, and deployment, focusing on optimizing ML workflows and enhancing team practices.

As a Senior Software Engineer II, you'll design APIs, improve performance, mentor engineers, and build AI solutions for better healthcare access.

The Field Application Engineer will serve as the primary technical contact for customers, focusing on implementing AI/ML hardware/software solutions, collaborating with teams, and ensuring customer success.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

The Senior Software Engineer will design and maintain backend software, APIs, and collaborate with various teams to enhance product offerings and scale services.

The AI/ML Engineer designs and deploys machine learning models, collaborates across teams, and translates business needs into AI solutions.

The AI/ML Engineer designs, develops, and deploys machine learning models, optimizing performance while collaborating across teams for AI-driven solutions.

The Senior Machine Learning Engineer will work on the Predictions workspace, developing predictive models for supply chain challenges and ensuring seamless user experiences through orchestrated workflows.

As a Machine Learning Engineer II, collaborate with ML scientists to deploy models, build infrastructure, automate workflows, and define scaling vision for ML applications.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

The Associate Architect will lead the development and deployment of machine learning solutions on Azure, manage the ML lifecycle, and optimize existing models while providing technical leadership to project teams.

As a Backend Software Engineer, develop and improve Bloomreach's multi-tenant search infrastructure, leveraging cloud technologies and machine learning for enhanced performance and scalability.

As a Machine Learning Engineer, you'll build platform capabilities for conversational AI, combining research and experimentation to create context-aware AI agents.

The Senior Machine Learning Engineer will design and implement advanced ML algorithms for search and recommendations, collaborating with data teams and staying updated on ML advancements.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

The ML Product Owner will shape the supply chain platform by developing forecasting capabilities, collaborating with teams to enhance decision-making using machine learning.

You will design and develop machine learning infrastructure and models, work with cross-functional teams, and build AI-driven applications, focusing on data scalability and performance.

The Senior Backend Engineer will design and operate AI/ML systems, manage backend infrastructure, and collaborate with teams to build production-grade solutions.

As an ML Ops Engineer, you will focus on deploying ML services, managing cloud infrastructure, orchestrating ML pipelines, and supporting AI models in production.

Lead and execute platform strategy for data, AI/ML, and GenAI at Priceline, managing global teams to enhance data access and machine learning capabilities.

As a Machine Learning Engineer, you will develop AI solutions, own AI features, integrate ML into CI/CD, mentor peers, and work on infrastructure challenges.

Seeking an AI/ML Engineer with 4+ years of experience to design, develop, and implement AI models and solutions, collaborating across teams to translate enterprise needs into practical applications.

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