Top Machine Learning Jobs in India

The Lead for Data Quality and Reliability Engineering will develop data quality practices, architecture, and metrics to ensure data integrity across systems while leading a team towards innovative data solutions in a financial context.

The role involves developing AI models for investment initiatives, focusing on proof of concepts and integrating AI capabilities within various business functions.

As an AI Engineer, you will develop AI solutions, collaborate with research and business teams, and enhance AI capabilities within BlackRock's Global Markets.

Develop and maintain scalable systems using Java or Python, ensuring software quality, stability, and operational excellence within an agile environment.

As an Experienced Software Engineer, you will design and develop scalable systems using Java or Python, ensuring code quality and performance improvements while collaborating with agile teams.

The role involves performing large-scale data analysis, building models from prototype to production, and presenting insights for decision-making.

Lead and innovate AI solutions by designing next-gen systems, collaborating on product development, and mentoring teams to enhance AI integration.

Lead the development of AI/ML solutions, mentor teams, and drive innovation while ensuring compliance and architectural best practices.

As a Senior Lead Architect, you will design high-quality architecture solutions, guide technical decisions, and evaluate technologies to influence product design and operations.

Lead Data Scientist responsible for driving the evolution of analytics products, applying data science, and collaborating across teams to solve business problems using AI and ML.

Manage accounting and budgeting functions, ensure timely completion of audits, coordinate tax assessments, and implement process improvements in collaboration with global stakeholders.

The Tax & Compliance Senior Associate will coordinate tax assessments, oversee tax reporting and compliance, lead complex tax assignments, and manage vendor coordination for tax litigation.

Lead and mentor a data science team, develop ML solutions, drive AI/ML initiatives, ensure model performance and fairness, and foster innovation.

This role involves overseeing quality deliverables for ML/AI products, building test strategies, evaluating AI-generated content, creating test datasets, and maintaining automation frameworks.

The role involves leading design and development of generative AI solutions, mentoring junior engineers, and collaborating on AI projects using technologies like Python, AWS, and React.

As an Embedded AI Senior Associate, you'll work with business experts to identify AI solutions, analyze data for insights, and collaborate on implementing AI strategies.

Design and optimize LLM pipelines, implement AI solutions, and enhance agent reasoning workflows while collaborating with product teams.

Lead the design and architecture of AI solutions, ensuring scalable, reliable delivery. Collaborate on AI frameworks and mentor engineering teams to innovate in LLMs and agentic AI.

Lead the design and architecture of AI solutions, ensuring scalable and reliable deployment of systems. Collaborate with cross-functional teams to integrate AI technologies and mentor engineers in best practices.

Lead AI solution design and architecture, ensuring scalable and reliable systems. Develop agentic pipelines using modern AI frameworks and mentor engineers.

Lead and scale QuillBot's AI Engineering & MLOps function by overseeing the full ML lifecycle, optimizing performance, and mentoring a team while collaborating cross-functionally.

The Python & AI/ML Developer will lead automation and solutions development for operations, analyze processes, and implement improvements utilizing Python and AI/ML tools.

The Applied AI ML Lead will manage AI/ML projects, mentor team members, drive innovation, and ensure timely delivery of solutions while collaborating across teams.

Responsible for designing, building, and implementing software applications, focusing on predictive intelligence and machine learning for reliability solutions.

Lead enhancements of a hybrid SaaS platform focusing on networking, AI, and automation. Collaborate with teams to ensure system reliability and mentor engineers.