Top Machine Learning Engineer Jobs in Mumbai

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.

The Principal Engineer, Machine Learning will design AI solutions for telecom use cases, collaborate with teams, oversee deployment, and ensure compliance with data regulations.

As a ML Engineer Intern, you will build functionalities for products and integrate third-party systems, gaining hands-on experience in ML applications.

The AI/ML Architect will develop, deploy, and maintain AI and machine learning models while utilizing cloud services and big data technologies for scalable applications.

As a Staff Machine Learning Engineer, you will lead the design and deployment of machine learning systems, mentor engineers, and enhance model evaluation processes within a fintech setting.

The AI/ML Engineer will develop and optimize AI-driven media search, fine-tune models, handle large datasets, and work with engineering to deploy scalable AI endpoints.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

Design, develop, and scale ML systems processing telemetry data. Lead cross-functional teams, mentor engineers, and innovate in AI-driven solutions.

As a Senior ML Engineer, you will operationalize ML models, design scalable MLOps infrastructure, build feature stores, automate workflows, and ensure model monitoring, collaborating with data scientists and engineers.

The Senior Machine Learning Engineer will design, develop, and deploy ML and Generative AI solutions, ensuring high performance and reliability, while leading collaboration efforts with cross-functional teams.

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 AWS Solutions Architect- AI/ML will design and implement cloud solutions, focusing on modernization, data engineering, and AI/ML integration to support client goals.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

Lead the design, development, and delivery of advanced machine learning models and systems, particularly in NLP and multi-agent systems. Manage a team of engineers and scientists while collaborating cross-functionally to align ML efforts with business goals.

Lead and mentor a team of engineers, oversee development processes, drive ML initiatives, and collaborate globally on the Domain Search platform.

The AI/ML Engineer II role involves developing AI solutions, managing product backlogs, integrating LLMs, and collaborating on automation projects while leading improvements in IT processes.

Seeking a Senior Machine Learning Engineer to design and develop AI models for real estate operations while collaborating across teams to enhance customer experience and product innovation.

The Technical Writer will develop and maintain technical documentation, collaborate with teams, and enhance user experience through clear content on AI/ML products.

Design and develop machine learning infrastructure and models to enhance user experience. Collaborate with teams on AI integration and data lifecycle management.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As a Senior Machine Learning Engineer at MediaRadar, you will design, implement, and optimize ML solutions for data products, focusing on retrieval and relevance, model evaluation, and operational excellence.

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 Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

Lead AI/ML projects, design scalable architectures, translate business needs into technical solutions, and ensure best practices in implementation.