Top Machine Learning Jobs in Pune

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

The Sales Executive is responsible for selling SailPoint's IGA Solution Suite to large organizations, engaging with C-level executives, navigating complex sales cycles, and maintaining relationships with key stakeholders to achieve sales goals.

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.

Design and implement AI-driven systems to solve business problems, focusing on orchestration, observability, and model deployment.

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.

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.

Design and deploy AI-powered solutions for observability, focusing on NLP and generative AI. Collaborate with cross-functional teams.

As an AI/ML Engineer, you will design and deploy AI solutions focusing on natural language processing, generative AI, and optimizing observability features. Responsibilities also include collaborating with cross-functional teams and integrating advanced AI technologies into the LogicMonitor platform.

The role involves translating business requirements into AI solutions, analyzing complex processes, collaborating with stakeholders, and ensuring regulatory compliance while driving AI innovation in financial services.

The AI/ML Engineer will lead research and development in Industrial Digital Twins and AI applications, collaborating with cross-functional teams to design scalable solutions for industrial challenges.

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

As an AI / ML Engineer, you'll develop applications utilizing AI tools, apply GenAI models, and ensure high-quality production pipelines, focusing on machine learning operations and collaborating with teams to enhance performance.

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

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

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.

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

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.

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

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.

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.

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