Top Machine Learning Jobs in Kolkata

As a Software Engineer III, you will design and implement software solutions, ensuring quality and stability, while analyzing data and contributing to team culture.

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

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.

Lead the design of distributed systems and ML infrastructure, drive innovation in AI and Big Data, mentor engineers, and ensure high-performance solutions.

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

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.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

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

Lead technical evolution of a SaaS cloud platform, ensuring performance, security, and scalability while mentoring engineers and delivering solutions.

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.

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

Design and develop scalable cloud platforms, advocate for agile methodologies, and support software engineers. Requires 7+ years experience in distributed systems.

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.