Top Machine Learning Jobs in Pune

The role involves designing scalable solutions, collaborating on technology roadmaps, engaging with clients, and mentoring junior team members in architecture practice.

As a Senior Staff Machine Learning Engineer, you will develop advanced machine learning solutions, enhance cryptocurrency access, and improve user experience with innovative technologies.

Lead and manage a team to build a scalable ML platform at Coinbase, focusing on Language Models for an open financial system, while mentoring engineers and ensuring high quality architecture and processes.

As a Staff Software Engineer, you will lead software design, development, and deliver scalable solutions, mentor engineers, and solve complex challenges.

The role involves architecting IT solutions on Azure, collaborating with stakeholders, and ensuring platform stability and security while incorporating innovative technologies.

As a Senior Machine Learning Engineer at Coinbase, you will build scalable ML infrastructure, develop solutions, and democratize ML resources across teams, focusing on user experience and security.

As a Software Engineer - Machine Learning, you'll design and implement complex ML systems, improve existing algorithms, and optimize performance for embedded platforms.

Lead MLOps for impactful machine learning solutions, manage ML pipelines, ensure model monitoring, and communicate insights across teams.

The Consultant will design and implement ML solutions, collaborate with teams, write production-ready code, manage ML lifecycles, and mentor others.

The Lead AI Business Consultant will identify AI opportunities, provide technical consulting, and lead client engagements to implement AI solutions.

As a Machine Learning Engineer, you'll develop and deploy machine learning models to enhance credit decisions, automate customer service, and prevent fraud while collaborating across teams to drive innovation.

The Growth ML & Experimentation Engineer will build automated experimentation systems and reinforcement learning solutions to optimize AI performance autonomously.

Lead the development of ML infrastructure, mentor engineers, collaborate with data scientists, and ensure successful model deployment and project delivery.

The Senior ML Data Platform Engineer will architect scalable data systems, deliver ML solutions, and collaborate with cross-functional teams to enhance the MLS data platform.

The Software Engineer in Machine Learning will build and optimize machine learning systems, evaluate performance, and collaborate with cross-functional teams to enhance fleet safety technology.

The Senior Software Engineer will discuss and research features, write code and documentation, and engage with the community on platforms like GitHub and Discord. Strong Python skills and excellent communication are essential.

Lead development of a multi-agent AI infrastructure for financial institutions, focusing on custom AI orchestration, real-time systems, and architectural best practices.

As a Senior Backend Developer, you will design, develop, and maintain backend systems for AI solutions, manage data integration, and implement security measures.

As a Senior Machine Learning Engineer, you will solve NLP problems, optimize models, and deploy scalable production NLP pipelines in a collaborative environment.

The Staff Machine Learning Engineer will design, build, and deploy scalable ML systems, lead ML initiatives, and mentor engineers to enhance AI capabilities at Apollo.io.

The AI Prompt and Quality Engineer is responsible for monitoring AI Chatbot responses, resolving quality issues, tuning models, analyzing data, and improving processes.

Lead the development of AI/ML models and pipelines, mentor teams, drive innovation in NLP and computer vision, and manage project delivery.

As a Data Engineer, you will design and maintain data pipelines and infrastructure, ensuring efficient data delivery and collaborating with teams for requirements analysis, testing, and continuous improvement.

The Staff Software Engineer in Machine Learning will build foundational components for ML models, mentor junior engineers, optimize data pipelines, and enhance infrastructure for low-latency, high-availability ML solutions.

The ML & Data Engineer will develop the data platform, manage ETL processes, integrate data with ML models, and collaborate across teams.