Top Machine Learning Jobs in India

The role involves performing process reviews, developing Python applications, and maintaining prompts for LLMs, focusing on analytics and machine learning in a FinTech context.

Design, develop, train, and evaluate ML, DL, and Generative AI models; prepare and manage data; run experiments and POCs; build and deploy AI services/APIs using containerization and cloud platforms; collaborate with data engineering and business teams and ensure data governance and compliance.

The Staff AI Scientist will design and develop agentic AI systems and RAG applications, conduct AI research, and lead projects from prototyping to deployment in a cross-functional team context.

Lead and manage an AI/ML engineering team to design, develop, deploy, and monitor production ML models (including LLMs and RAG). Collaborate with stakeholders to translate business problems into data-driven solutions, ensure code quality, maintain data integrity and privacy compliance, and promote data literacy across the organization.

Lead model governance and monitoring for private asset full-revaluation models, develop and scale quantitative risk methodologies, collaborate across teams, mentor junior modelers, and deliver production-ready analytics supporting portfolio and risk managers.

Perform static and dynamic malware analysis, develop detections and protections, analyze IOCs, validate AI/ML outputs, build automation tools, and publish threat research.

Lead and grow teams building AI infrastructure systems. Ensure reliability and performance of AI workloads, define technical directions, and manage engineering quality while collaborating across functions.

Design, develop, deploy, and maintain AI-powered solutions (LLMs, generative models, chatbots, predictive analytics). Provide technical leadership, ensure responsible AI and regulatory compliance, integrate AI into cloud-hosted production systems, mentor teammates, and drive operational excellence.

Senior software engineer responsible for designing, developing, deploying, and maintaining scalable, highly available backend services. Lead architectural decisions, mentor junior engineers, own production systems, contribute to testing and automation, and collaborate with product and client teams to solve complex problems across distributed systems and data platforms.

Lead the design and development of AI solutions for medical applications, focusing on NLP technologies and machine learning techniques for information extraction and synthesis.

The Principal Data Scientist will lead the development of advanced AI solutions for medical applications, enhancing NLP technologies and implementing deep learning techniques. Responsibilities include training large language models and collaborating with teams to deliver production-grade models.

The Senior Information Security Engineer leads incident response, conducts investigations, provides security consulting, and implements security solutions while collaborating to enhance data analytics capabilities.

The Senior AI & Data Scientist will develop and deploy pricing models using machine learning, optimize model performance, and collaborate with teams to refine pricing strategies across global operations.

The Associate Software Engineer will develop and improve Aviation Operational Efficiency Software, collaborating with cross-functional teams and engaging in Agile practices.

The Lead Software Engineer will build backend services for AI features, integrate generative AI technologies, ensure quality, and collaborate with teams while mentoring junior engineers.

Design and deliver production-grade GenAI systems and agents for Telecom OSS/BSS: build RAG pipelines, train and optimize LLM/SLM models, deploy scalable Python services/APIs, and integrate cloud-native ML solutions to drive automation, intelligence, and decisioning at scale.

The role involves designing and implementing machine learning tools for data analysis, developing pipelines for various sensor datasets, and integrating applications into verification ecosystems while guiding junior engineers.

The Associate Business Support Specialist role involves implementing space planning, managing employee services, coordinating operations, overseeing asset management, and ensuring safety protocols. The position requires collaboration across functions and effective communication skills.

Seek an experienced Enterprise Sales Representative to sell IGA Solutions to organizations, engaging with C-level in a lengthy sales cycle using the Challenger sales methodology.

The ML Research Engineer will develop and deploy AI/ML models, optimize algorithms for real-time use, and collaborate with software engineers to integrate solutions into AI platforms.

Contributes to the development and deployment of machine learning algorithms, analyzes solutions, and collaborates with senior researchers to solve problems.

Role focuses on developing tools for value quantification using analytics and AI, managing data, and collaborating across teams to enhance customer engagement and drive business outcomes.

As an Associate AI/ML Engineer, you will work on high-performance teams at Optum, focusing on innovative approaches to improve healthcare using AI and ML technologies.

Design, build, and productionize AI/ML systems (including GenAI/agents, RAG, and inference pipelines), ensure model quality, observability, security, and compliance, and lead cross-functional architecture, governance, and MLOps best practices.

Seeking a Senior Cloud Support Engineer with expertise in Kubernetes and AI/ML to resolve complex customer challenges and design cloud solutions. Responsibilities include technical leadership, customer impact, organizational leadership, and mentoring junior engineers.