Top Machine Learning Jobs in India

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.

The Senior Lead Architect leads architecture solutions for software applications, focusing on security, quality code production, and governance improvements while influencing product design and technology evaluations.

The Engineering Manager will lead AI & ML initiatives focused on data collection, overseeing technical projects and developing a high-performing team. Responsibilities include providing technical direction, mentoring staff, ensuring system reliability, and maintaining data integrity and security. The role requires expertise in NLP and data processing with an emphasis on collaborative leadership and continuous innovation.

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 Associate will focus on ensuring data quality for machine learning models, design attributes for data consistency, and collaborate with stakeholders to improve data accuracy. Responsibilities include model development and quality monitoring while communicating results effectively to senior management.

As a Senior Lead Cybersecurity Architect, you will guide cybersecurity evaluations, influence stakeholders, and contribute to engineering practices while delivering high-quality solutions.

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.

Design and develop machine learning models, leverage big data and cloud platforms, collaborate with stakeholders for production deployment.

The Applied AI ML VP will lead the Fraud Vendor Modeling team, manage vendor models, and ensure compliance and governance while collaborating with various stakeholders in risk management.

The role involves developing AI solutions for banking operations, collaborating with cross-functional teams, managing code lifecycle, and ensuring code quality in the AIML space.

As a Senior Lead Engineer, you'll develop observability solutions and APIs for generative AI models while ensuring compliance and data integrity. You'll collaborate with cross-functional teams to monitor performance and drive innovation.

As a Software Engineer II, you will design and implement AI-driven software solutions, mentor engineers, and oversee project goals within a collaborative agile team.

Lead the development of AI/ML solutions, engage with stakeholders, coach team members, and collaborate on business-focused data science initiatives.

As a Software Engineer III, you will design and deliver AI-driven software solutions, lead technical efforts, and collaborate across teams while mentoring others.

As a Lead Software Engineer, you will design and implement AI-driven solutions using LLMs and develop multi-agent systems while mentoring junior engineers.

The Software Engineer III will design and deliver ML/GenAI technology solutions, ensuring high quality and security, while using diverse data sets for improvement insights.

As a Software Engineer III, you'll design and deliver ML technology products, implement AI solutions, and maintain production-level code while supporting the firm's goals.

As a Software Engineer III, you will design and deliver AI/ML technology products, focusing on implementing solutions that support business objectives. Responsibilities include coding, architecture design, and data analysis.

The Senior Engineering Manager will oversee the engineering team, ensuring project delivery, team development, and alignment with company goals.

Lead the design and deployment of LLMs for NLP tasks, develop data pipelines, and collaborate with teams to meet business needs.

Develop and deploy AI and ML solutions for enterprise services, collaborating with teams to ensure quality software delivery and user experience enhancements.