Top Machine Learning Jobs in Pune

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

Responsible for product roadmap and governance of GenAI visualization and conversational analytics. Lead development and integration of analytics products in the financial sector.

The Manager Data Governance drives AI and Machine Learning solutions, translating insights into business recommendations, ensuring best practices, and collaborating with stakeholders for robust analytics solutions.

Seeking a motivated Solution Consultant to provide Advanced Process Control solutions, support sales efforts, and optimize manufacturing processes with a focus on analytics.

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

Develop and maintain DirectX Graphics Driver for NVIDIA GPUs, focusing on graphics features, software quality improvements, and collaboration across teams.

Seek an experienced Enterprise Sales Representative to sell IGA Solutions to organizations, engaging with C-level in a lengthy sales cycle using the Challenger sales methodology.

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.

As a Principal AI Engineer, you will define system architecture for AI platforms, ensuring scalability and security while mentoring teams and making architectural decisions.

The Technical Manager will lead malware research, manage a team, conduct advanced analysis on threats, and develop detection strategies.

Design and implement AI workflows, develop ML pipelines, collaborate with data scientists, and stay current with LLM research to create impactful solutions.

Design, implement, and productionize scalable ML/GenAI solutions; collaborate with clients and architects; write production-ready code and tests; run POCs; ensure delivery excellence, observability, and mentoring.

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

As a Principal AIOps Engineer at Boomi, you will leverage AI and machine learning to enhance integration and automation, driving significant business impact. You'll work with cutting-edge technologies and lead teams to innovate and solve complex challenges.

This role involves designing, developing, and deploying advanced agentic AI systems, ensuring ethical standards, collaborating with teams, and innovating at scale.

The IT Analytical Engineer develops BI solutions, supports self-service analytics, and collaborates to model data from various sources, enabling actionable insights.

Lead enterprise sales strategy for manufacturing and conglomerates, manage large accounts, and mentor a sales team while aligning solutions with client operational priorities.

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

As a Senior Data Scientist, you will develop and deploy AI models and solutions, focusing on Generative AI and NLP in healthcare applications. Responsibilities include building, testing, and maintaining data science pipelines, mentoring juniors, and collaborating with teams to integrate AI technologies.

The Senior Data Scientist will develop Generative AI models, optimize pipelines, and implement AI solutions in health sciences, leveraging NLP and machine learning expertise.

Lead technical design and architecture strategy for high-value digital solutions sales, collaborating with sales teams to present solutions and ensuring technical integrity during proposals.

Senior supply chain analytics role delivering Power BI reports, predictive models, and tooling to improve warehouse and fulfillment operations. Mentor analytics peers, establish governance and best practices, collaborate with stakeholders, and partner with Enterprise Data to build unified data models that drive operational improvements.