Top Machine Learning Engineer Jobs in Mumbai

As an Applied AI/ML Engineer, you will develop AI-driven solutions for banking, collaborate with cross-functional teams, and manage the code lifecycle.

This role involves optimizing the Machine Learning Development Life Cycle, supporting AI applications, collaborating within teams, and advancing PitchBook's AI capabilities.

As a Senior Machine Learning Engineer at Coinbase, you will build scalable ML infrastructure, develop solutions, and democratize ML resources across teams, focusing on user experience and security.

Engineer III - ML Platform will build and optimize ML pipelines for a large-scale data platform, collaborating with engineers and scientists to enhance operational success and model deployment.

As a Senior Machine Learning Engineer at Atlassian, you will develop and implement cutting-edge machine learning algorithms, train complex models, and collaborate with teams to integrate AI features into Jira. Your role involves designing system architectures, conducting experiments, guiding junior engineers, and ensuring the practical application of AI within the product.

The Software Engineer will develop and optimize machine learning and computer vision algorithms for truck safety, collaborating across teams while managing large data sets.

As a Software Engineer - Vision, you will develop and optimize computer vision algorithms, improve existing models, and collaborate with cross-functional teams on AI systems.

As a Microsoft Copilot Specialist, you will provide technical support and develop AI-driven automation workflows using Microsoft technologies, enhance business processes, and ensure compliance with data privacy standards while training users on Copilot capabilities.

The Associate Architect - Machine Learning will design and develop cloud ML solutions on AWS, focusing on LLMs and Generative AI while collaborating with cross-functional teams and implementing MLOps practices.

As a Senior Machine Learning Engineer, you will interface with clients, develop solutions, and collaborate with offshore teams to solve business problems using data science.

Develop and implement conversational AI solutions utilizing Google CCAI Bot framework and Dialogflow, collaborating with cross-functional teams on chatbot and voicebot projects.

Lead and mentor a team in developing cutting-edge AI solutions, oversee project lifecycles, and ensure innovation in AI applications.

The Associate Architect for ML will design and develop cloud ML solutions on AWS, implement MLOps practices, and create scalable predictive models addressing pricing strategies.

The AI & Machine Learning Engineer will develop and maintain machine learning models, focusing on computer vision and NLP to enhance live selling platforms. Responsibilities include model training, deploying solutions, and collaborating with cross-functional teams.

Lead the development and innovation of Generative AI technologies, guiding research, collaborating with teams, and mentoring juniors while shaping technology strategy.

Lead machine learning projects and teams to implement large-scale ML systems, focusing on predictive modelling, experimentation, and cross-team alignment within Dream Sports.

Develop high-quality full-stack applications while designing APIs, microservices, and leveraging AI tools to improve efficiency. Collaborate within a remote team environment.