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.

As a Microsoft Copilot Specialist, you'll provide technical support, optimize AI systems, customize user experiences, and train users on Microsoft Copilot functionalities.

The Principal Software Engineer will lead multiple development projects, coach a diverse team, and optimize architectural designs while fostering innovation and collaboration.

Principal Software Architect role focused on hands-on coding, team mentorship, architectural design, and driving enterprise-wide initiatives to improve product quality and customer experience.

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 Staff Engineer leads Generative AI development by translating client requirements into technical designs, defining architecture, and ensuring compliance with best practices.

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

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

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.

Collaborate with teams to develop and maintain scalable full-stack applications, focusing on backend services using Node.js and cloud technologies.

As a Full-stack Engineer, you will collaborate with teams, develop and maintain applications using Node.js and React, and implement AI/ML techniques.

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 Curriculum Developer will create high-quality education content, collaborate with SMEs, and ensure effective learning experiences in AI courses.

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 and mentor a team to develop AI/ML solutions, manage project timelines, drive technology decisions, and foster innovation within the engineering team.

The Lead Software Engineer will provide technical vision, oversee project delivery, mentor team members, and improve processes in data engineering and AI-ML initiatives.

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.

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.

Develop and maintain front-end applications, design scalable APIs, model data with relational databases, integrate Gen AI features, and contribute to system design in an agile team setting.

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.