Top Machine Learning Jobs in Pune

Seeking an AI/ML Engineer with 4+ years of experience to design, develop, and implement AI models and solutions, collaborating across teams to translate enterprise needs into practical applications.

The Senior Staff Engineer, Machine Learning will lead the design and implementation of machine learning solutions, focusing on AI architecture, data manipulation, and developing AI agents for complex decision-making. Responsibilities include stakeholder engagement, technical design, and adherence to best practices in AI and ML.

The Senior Staff Engineer, Machine Learning will design and implement AI/ML solutions, focusing on NLP and machine vision while leading technical design and architecture discussions.

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.

Develop data-driven models for identity resolution and intent detection, collaborating with engineers to make analytical models actionable in near real time.

The Staff Machine Learning Engineer will shape the company's ML infrastructure, optimize models, mentor engineers, and improve operational efficiencies.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The AI/ML Engineer II role involves developing AI solutions, managing product backlogs, integrating LLMs, and collaborating on automation projects while leading improvements in IT processes.

The role involves developing generative AI models, optimizing machine learning pipelines, mentoring junior engineers, and collaborating with cross-functional teams to enhance AI solutions.

The Staff Machine Learning Engineer will design, deploy, and maintain scalable ML solutions, collaborate with teams, and enhance productivity through tooling.

The role involves designing, building, and scaling ML/RL systems that enhance customer experience while ensuring reliability and efficiency in production. Responsibilities include model optimization, deployment, and monitoring for performance improvements.

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.

Design, develop, and deploy machine learning models and AI solutions. Collaborate with teams for intelligent automation and conduct research on new AI technologies.

The Associate Principal Engineer in Machine Learning will design AI/ML solutions, ensure architectural quality, and lead problem-solving efforts while collaborating with stakeholders.

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

The Technical Architect for AI/ML will define architecture for AI systems, mentor teams, and align strategies with business objectives, utilizing cloud-native tools and frameworks.