Top Machine Learning Jobs in Pune

Design and develop machine learning models for banking AI use cases, translate technical requirements, and ensure best practices adherence during project implementation.

The Senior Staff Engineer will design and implement machine learning solutions, collaborate on technical requirements, ensure compliance, perform model evaluation, and guide developers. They will also evaluate AI use cases in banking and lead POCs.

Lead AI/ML projects, design solutions, mentor engineers, and drive architecture while ensuring best practices in model development and deployment.

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.

Seeking a Senior Machine Learning Engineer to design and develop AI models for real estate operations while collaborating across teams to enhance customer experience and product innovation.

Design and develop machine learning infrastructure and models to enhance user experience. Collaborate with teams on AI integration and data lifecycle management.

As a Senior Machine Learning Engineer at MediaRadar, you will design, implement, and optimize ML solutions for data products, focusing on retrieval and relevance, model evaluation, and operational excellence.

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

The Senior Machine Learning Engineer will work on the Predictions workspace, developing predictive models for supply chain challenges and ensuring seamless user experiences through orchestrated workflows.

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

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

The Senior Software Engineer will design, develop, and deploy AI platforms, implement algorithms, contribute to open source, and mentor junior engineers.

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

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.

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.

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

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

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.

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.

Lead the development of Agentic AI applications, focusing on autonomous decision-making and deployment of generative AI models while collaborating across teams to enhance AI capabilities and innovations.

As a Senior ML Engineer, you will operationalize ML models, design scalable MLOps infrastructure, build feature stores, automate workflows, and ensure model monitoring, collaborating with data scientists and engineers.

As a Principal Engineer in Machine Learning, you will design and implement AI/ML solutions, develop technical designs, evaluate architectures, and resolve complex issues.