Top Machine Learning Jobs in Pune

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

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

Build, train, and refine ML models using real human behavior data. Develop data pipelines, own model deployment, and integrate models into apps.

As a Machine Learning Engineer II, collaborate with ML scientists to deploy models, build infrastructure, automate workflows, and define scaling vision for ML applications.

Lead and mentor engineers in AI/ML solutions, manage project timelines, provide technical guidance, and foster collaboration within the team.

Design and develop web applications using C# and ReactJS. Mentor junior developers, ensure code quality, and collaborate with various teams. Optimize performance and maintain technical documentation.

The Senior Machine Learning Engineer will develop and deploy ML models, collaborate with teams, conduct experimentation and monitor model performance, and mentor junior engineers.

You will design and develop machine learning infrastructure and models, work with cross-functional teams, and build AI-driven applications, focusing on data scalability and performance.

The ML Product Owner will shape the supply chain platform by developing forecasting capabilities, collaborating with teams to enhance decision-making using machine learning.

Develop and deploy AI and ML models, collaborate with teams to design algorithms, and leverage data for insights and solutions.

Lead the end-to-end data science pipeline, develop AI/ML models, collaborate with engineering teams, and engage business users to translate complex problems into solutions.

As a Senior AI and ML Engineer at NVIDIA, you'll build insights into AI tools, develop testing environments, and automate workflows, enhancing productivity for software development and DevOps.

As a Machine Learning Engineer, you will develop AI solutions, own AI features, integrate ML into CI/CD, mentor peers, and work on infrastructure challenges.

The Principal Engineer, Machine Learning will design AI solutions for telecom use cases, collaborate with teams, oversee deployment, and ensure compliance with data regulations.

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.

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

As a ML Engineer Intern, you will build functionalities for products and integrate third-party systems, gaining hands-on experience in ML applications.

The AI/ML Architect will develop, deploy, and maintain AI and machine learning models while utilizing cloud services and big data technologies for scalable applications.

Lead AI/ML initiatives at IMACS, focusing on model development and deployment for climate-health data integration. Collaborate with teams, ensure effective model delivery, and accelerate training for public health professionals.

As a Staff Machine Learning Engineer, you will lead the design and deployment of machine learning systems, mentor engineers, and enhance model evaluation processes within a fintech setting.

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 will develop and optimize AI-driven media search, fine-tune models, handle large datasets, and work with engineering to deploy scalable AI endpoints.

Design, develop, and scale ML systems processing telemetry data. Lead cross-functional teams, mentor engineers, and innovate in AI-driven solutions.