Top Machine Learning Jobs in Pune

The Staff Engineer, Data Science will lead projects in machine learning, data visualization, and model deployment while mentoring team members and translating business requirements into technical solutions.

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

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.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

The Senior Software Engineer will design and maintain backend software, APIs, and collaborate with various teams to enhance product offerings and scale services.

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

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

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.

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 and develop a global Site Reliability Engineering (SRE) team, ensuring system reliability and performance while driving strategic initiatives and fostering collaboration.

Design and productionize ML models for search relevance and personalization. Collaborate on ML services with backend teams under performance constraints.

Lead the data engineering strategy at XO Health, overseeing a team, implementing scalable data solutions, and developing advanced analytics models for healthcare data optimization.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

As a Senior AI and ML Engineer at NVIDIA, you'll build insights into AI tools, develop testing environments, and automate workflows, enhancing productivity for software development and DevOps.

Lead AI/ML projects to develop recommendation systems, optimize data pipelines, and deliver strategic insights for supply chain execution while mentoring engineers and collaborating across teams.

Design and implement scalable machine learning models, automate tests, and utilize data engineering for actionable insights. Collaborate on AI/ML solutions meeting business needs.

Assist in building scalable data workflows, support AI/ML projects, and contribute to mentor-led development and research on GCP features.

The Senior AI/ML Engineer will lead the development and deployment of AI models, collaborate on generative AI solutions, and improve complex business processes.