Top Machine Learning Jobs in Pune

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

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

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

The Senior Consultant will deliver identity security solutions, guide customers on project implementation, and manage multiple project initiatives while leveraging their IAM expertise and technical skills.

The Director of Developer Relations will engage with developers and startups, focusing on NVIDIA's AI technologies, driving strategies and partnerships, and enhancing product development through community engagement.

As a Senior MLOps Engineer, you will collaborate with data science and engineering teams to manage ML pipelines, monitor models, and deploy solutions in the cloud.

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

The Senior ML Platform Engineer will design and develop scalable machine learning infrastructure, focusing on performance optimization and automation of ML pipelines.

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.

The Senior Machine Learning Engineer will develop AI solutions to enhance productivity, build and scale ML models, and communicate data science concepts effectively.

The Principal Machine Learning Engineer influences AI product development, collaborates with cross-functional teams, and drives business strategies using data analysis and insights.

The Machine Learning Engineer will influence AI product development, collaborate on business problems, apply quantitative analysis, and drive product strategies through data insights.

Manage and mentor engineering teams, ensure high-quality product delivery, contribute to technical decisions, and enhance classroom learning experiences.

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

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.

The Data Operations Analyst develops custom product attribution based on client needs, utilizing tagging and machine learning; ensuring data mapping accuracy and project delivery.

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 Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

The Skills Strategy Manager will advise enterprise clients on workforce transformation and AI strategy, ensuring deployment success and customer value through data-driven insights and program leadership.

Lead research initiatives focusing on customer AI experiences, conduct various research methodologies, and translate findings into strategic insights.

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

The Field Application Engineer will serve as the primary technical contact for customers, focusing on implementing AI/ML hardware/software solutions, collaborating with teams, and ensuring customer success.

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.

As a Senior Data Analyst, you will forecast case volumes, manage capacity, perform data analysis, and enhance operational performance while partnering with teams for customer experience improvements.