Top Machine Learning Jobs in Pune

Develop and optimize machine learning models, manage project priorities, and improve real-world solutions using advanced ML techniques.

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.

Design, build, and optimize ASR and speech-related ML systems, handling real-world audio for production deployment and improvements.

The role involves mentoring product teams in data and ML best practices, conducting complex data analysis, modeling, and building AI-driven workflows to automate processes and enhance product features.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

The Machine Learning Engineer role involves designing, building, and operating ML systems, collaborating with data scientists, and ensuring governance in production environments. The engineer will manage the ML lifecycle and contribute to the technical strategy and MLOps maturity.

As an AI/ML Engineer, design, develop, and deploy machine learning models and AI solutions for fintech, ensuring integration with cloud platforms and robust data pipelines.

The role involves building and deploying ML solutions, data analysis, model development, and collaborating with stakeholders, focusing on business impact.

Responsible for the end-to-end design, development, and deployment of Machine Learning models, collaborating with teams, and managing deployment lifecycles.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

The role involves designing and deploying machine learning models, ensuring model performance, and optimizing ML infrastructure on GCP, collaborating closely with data engineers and scientists.

Design, implement, and maintain machine learning systems. Collaborate with data experts and transform business problems into data problems through statistical modeling and analysis.

The Director of AI/ML will lead the creation of a new Agentic Delivery Center in India, transforming client needs into scalable AI/ML solutions while ensuring project success and value delivery. Responsibilities include collaborating with leadership, defining architectural standards, and mentoring teams._

Design, develop, and implement ML models for search and recommendation systems. Collaborate with data engineers and scientists to integrate, enhance and scale ML solutions for personalization in various sectors.

Lead AI/ML projects, design scalable architectures, translate business needs into technical solutions, and ensure best practices in implementation.

Design, build, and productionize scalable AI/ML pipelines and models (including LLMs and Generative AI). Deploy and optimize models across cloud and edge, implement MLOps (CI/CD, versioning, monitoring), and collaborate with data scientists and engineering teams to deliver reliable, low-latency AI solutions.

The role involves designing and optimizing large-scale ML data pipelines, ensuring high-throughput data ingestion and processing, collaborating with teams on data workflows, and architecting GPU-based environments.

The role involves developing and implementing Machine Learning models, managing data pipelines, and supporting Data Science teams with best practices in ML operations and methodologies.

The Senior Machine Learning Engineer will design, develop, and deploy AI systems, focusing on Generative AI and LLM integration across various business operations, ensuring high performance and scalability.