Top Machine Learning Jobs in Pune

Lead the design and development of scalable data engineering products, optimize data processes, and mentor junior team members in a healthcare analytics context.

The Consultant will design and implement ML solutions, collaborate with teams, ensure quality deliverables, and mentor peers, leveraging advanced machine learning and engineering techniques.

Join Boomi as a Fullstack AI/ML Engineer to work on their intelligent integration and automation platform, making impactful contributions.

The Principal AI/ML Engineer will architect and deploy AI systems, innovate internal platforms, lead agent design, integrate APIs, ensure system security and performance, and mentor teams in AI development.

Design and implement AI workflow solutions using Python and Terraform, collaborate with teams, utilize Azure for cloud infrastructure, and ensure compliance with regulations.

The Senior Machine Learning Engineer will develop and deploy machine learning solutions, utilizing diverse data sources to enhance user experience and security in the financial system.

The role requires a Business Intelligence Consultant to transform data, develop dashboards, manage data assets, and collaborate with operations to deliver insights in the Investment Banking sector.

The Strategic Partner Manager will manage VARs, drive sales growth, build relationships, and support partner-led deals to maximize LogicMonitor's market presence.

As a Lead Software Engineer, you will enhance and deliver technology products, ensure operational stability, and lead technical evaluations while advocating for new technologies within the team.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The Solution Architect will lead technical strategy and delivery for IoT projects, managing client relations, and developing a technical team while overseeing implementation and analytics solutions.

As a Cloud Solution Architect, you will lead cloud transformation initiatives, design solutions, code applications, and mentor teams in utilizing cloud services effectively, focusing on Agile and DevOps practices.

The IT Product Owner - AI, will define product vision and strategy, manage roadmaps, gather requirements, lead agile development, and ensure AI solutions meet business objectives while maintaining compliance and leveraging market research.

As an AI Requirements Engineer, you will bridge business needs with AI solutions, manage stakeholder communication, and lead requirements documentation for AI implementations.

As a Software Consultant, you'll design scalable applications, lead integration of new technologies, mentor developers, and ensure product performance and security through best practices and reviews.

Lead and innovate AI solutions by designing next-gen systems, collaborating on product development, and mentoring teams to enhance AI integration.

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 Solutions Consultant will lead migration projects, engage with clients on data solutions, improve tools, and handle technical communications. Responsibilities include designing data architectures and ensuring efficient implementations.

Lead and scale QuillBot's AI Engineering & MLOps function by overseeing the full ML lifecycle, optimizing performance, and mentoring a team while collaborating cross-functionally.

The Product Designer will lead design for Fictiv's manufacturing platform, focusing on user experience through research, prototyping, and collaboration with teams.

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.

Drive the Search product roadmap at Bloomreach, focusing on AI, personalization, and data-driven decisions while ensuring customer engagement and market readiness.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

Evaluate AI-user conversations by assessing user sentiment and determining if the AI met emotional expectations, providing concise evaluations.

As a Senior Data Scientist, you'll develop Generative AI models and solutions, optimize RAG pipelines, and ensure ethical AI use through rigorous testing and evaluation.