Top Machine Learning Jobs in India

As a Software Engineer III, lead architectural initiatives, drive innovation in InsurTech, and develop cloud-native solutions while mentoring team members.

As a Technical Specialist, you will design and implement Automation and AI/ML solutions, collaborate on requirements, build MVPs, and enhance data pipelines in a dynamic team at LSEG.

The Senior Manager of Product Management at Zenoti will manage AI-powered products, ensuring they enhance customer outcomes and drive business metrics. Responsibilities include problem identification, product strategy, execution, and cross-team collaboration to launch scalable solutions.

The Data Scientist III will design, develop and deploy AI solutions using machine learning and large datasets to support data-driven decision making, mentor junior scientists, and communicate insights effectively.

Lead and support chatbot projects, manage content for NLP learning, ensure compliance, and track effectiveness of responses to enhance customer service.

Responsible for designing and optimizing detection capabilities across cloud-native security, leveraging AI/ML for threat identification, and automating detection processes.

The Sr. AI Engineer will develop AI solutions to address health challenges, collaborating with global teams to advance research and clinical practice.

The Senior Machine Learning Engineer will lead the development of a GenAI platform, enhance AI infrastructure, mentor junior engineers, and drive project ownership in a startup environment.

The Customer Success Business Partner at Lyric drives customer adoption and retention for strategic accounts, leveraging expertise in AI and supply chain operations.

Seeking a Vice President to develop Machine Learning models and Gen AI use cases in Wealth Management, supporting business lines with predictive analytics and operational model management.

As an Applied Scientist at OnePay, you will design and deploy machine learning models, develop AI agents, and optimize systems for user personalization and search efficiency.

Perform remote part-time data tasks to improve AI Gujarati content: collect, evaluate, and annotate data; perform pairwise comparisons, counting, and object tagging across audio, video, and images.

Perform data collection, evaluation, and annotation to improve AI-generated Kannada content. Tasks include pairwise comparisons, counting, object tagging and labeling across audio, video, images, and other data types.

Perform remote, part-time data tasks to improve AI content in Marathi, including data collection, annotation, pairwise comparisons, counting, and object tagging across audio, video, images, and collected data.

WorldQuant seeks a Quantitative Researcher to develop predictive models for financial markets, emphasizing creativity and a strong quantitative background.

The role involves leading applied AI and machine learning initiatives, aligning technical strategies with business goals, mentoring, and driving innovation in AI solutions.

The intern will design and implement high-frequency trading algorithms, analyze market data for patterns, and develop tools for data analysis.

The Solution Architect will design, develop and implement cloud-native platforms for fraud detection, balancing technology risks and business needs, while collaborating with stakeholders and ensuring compliance with governance processes.

The Senior Vice President, Full-Stack Developer leads development and delivery of key features, mentors staff, influences architecture, and drives modernization initiatives across platforms using diverse technologies.

The role involves leading analytics initiatives for CPG clients, managing client workshops, and ensuring high-quality project delivery through cross-functional team collaboration.

The Talent Acquisition Senior Manager will establish and scale recruiting in India, design strategy, build processes, and partner with business leaders to influence talent decisions.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

The Principal Consultant will manage digital product consulting projects, create solutions for clients across various industries, and lead client workshops to gather requirements. Responsibilities include translating business use cases into technical designs, guiding architecture and review processes, and fostering collaboration within global teams.

Lead development and research of advanced AI/ML solutions, fine-tune LLMs, design agentic systems, prototype novel algorithms, optimize training pipelines, ensure ethical AI, publish research, mentor juniors, and integrate enterprise AI into production.

Design, build, and operate secure cloud-based AI/ML platforms and pipelines. Implement CI/CD (GitHub Actions/Jenkins), deploy ML models (SageMaker/Azure ML), manage platform security, automate operations, and collaborate with partners to integrate generative AI and LLM solutions into production.