Top Machine Learning Jobs in Pune

As Engineering Manager for the AI Platform at Coinbase, you'll lead a team in architecting and developing a robust platform for LLM use cases while mentoring engineers and optimizing ML infrastructure.

The Lead Software Engineer designs and develops scalable, high-performing applications for Mastercard, leading cross-functional teams and solving complex service problems while guiding project execution throughout the entire development lifecycle.

The Principal Software Engineer will architect and develop AI applications using Python, lead implementation efforts, and collaborate with teams to enhance digital workforce capabilities.

The Solution Architect leads technical pre-sales activities for process optimization solutions, driving adoption of AI/ML technologies while providing domain expertise across varied industrial processes.

As an AI & Software Engineer, develop and integrate software components for AI applications, deploy AI solutions, and ensure software quality in cloud environments.

As an AI & Software Engineer, you will develop and integrate software for AI applications, support deployment, and maintain data quality, with a focus on optimizing energy production and processing.

Responsible for IT architecture of FFT software on Azure, collaborating with business units, ensuring platform stability, and providing technical documentation.

The Senior Software Engineer is responsible for designing and developing scalable software solutions, mentoring junior engineers, and ensuring quality delivery in an agile environment.

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.

As a Software Engineer, you will lead the SDLC, design architecture, write clean code, and mentor teams while collaborating across domains.

The Senior SRE will design, build, and maintain services for data analytics and ML, ensuring reliability, scalability, and operational efficiency.

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.

The Staff Engineer will lead the design and deployment of personalization models for streaming services, mentor a team, and ensure scalable ML solutions.

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

As a Senior Machine Learning Engineer, you'll build LLM-powered agents, collaborate on experiments, support prompt engineering, and monitor AI features in production.

Develop AI-driven features and systems, focusing on LLM fine-tuning and integration with third-party tools. Stay current with AI advancements.

The Principal Software Engineer will lead the AI/ML platform team, architect systems, mentor engineers, and ensure efficient AI solutions throughout GoDaddy.

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.