Top Machine Learning Jobs in Kolkata

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.

The role involves leading software development for AI-driven network management, innovating ML solutions and collaborating on real-time ML platforms.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

The Software Engineer - Machine Learning will develop and improve machine learning systems for fleet safety, optimize algorithms for performance, and collaborate with cross-functional teams.

The Director of Data Engineering leads the development of data infrastructure, analytics models, and ensures compliance with data standards while leading a team to optimize healthcare operations.

The Staff Engineer in Machine Learning will guide teams, solve client challenges, and enhance solutions leveraging their technical expertise.

As a Sr. Engineer on the Data + ML Platform team, you will design and build scalable ML pipelines and ensure best practices in development and deployment, shaping critical business decisions in modern cybersecurity.

The intern will engage in full-stack development, collaborating with teams, optimizing code, and exploring AI techniques, while learning Agile methodologies.

As a Software Engineer, design, develop, and deploy software solutions leveraging AI. Optimize performance and collaborate with cross-functional teams to enhance customer experiences and internal efficiency.

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

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

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.

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

Design and implement ML solutions, fine-tune and integrate LLMs, and collaborate on deploying intelligent features in production environments.

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

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