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.

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.

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

Perform static and dynamic malware analysis, develop detections and protections, analyze IOCs, validate AI/ML outputs, build automation tools, and publish threat research.

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.

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

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

The Senior ML/AI Research Engineer leads a team to integrate ML and AI algorithms into products, mentors team members, develops data pipelines, evaluates models, and drives innovative research projects to enhance product capabilities.

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.

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

As a Senior Software Engineer, you'll develop backend systems using Python and Java, ensure their reliability, and maintain performance and efficiency while collaborating with the team on microservices and coding best practices.

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.

The Data Scientist will analyze complex datasets, develop predictive models, and derive insights to support business objectives using advanced statistical methods.

Lead technical discovery and design for enterprise digital solutions, support sales with demos and ROI/TCO presentations, act as technical SME for RFP/RFQ responses, ensure architectures and SOW-aligned configurations, and support customer engagements.

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

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

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

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.

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.

Lead the strategy and execution for recommendation systems, cross-promotion, and ads monetization initiatives to enhance user growth and revenue.

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