Top Machine Learning Jobs in India

Lead research and development of advanced AI/ML models, fine-tune LLMs, design agentic systems, prototype algorithms, optimize training and deployment pipelines, integrate solutions into production, ensure ethical AI, and mentor junior researchers.

Design and build Agentic AI systems, including data extraction and pipeline creation. Train and evaluate AI models while ensuring complete ML pipeline infrastructure.

The Machine Learning Operations Engineer will develop and maintain AI systems, focusing on production-grade ML infrastructure, including APIs and CI/CD pipelines, while ensuring the reliability of deployed ML services.

The Lead Machine Learning Engineer designs and builds ML systems for data processing, utilizing NLP, LLMs, and cloud services to innovate AI solutions and lead cross-functional teams.

Develop and implement scalable ML platforms and infrastructure for threat detection, optimizing performance and resource utilization in large-scale distributed systems.

The Data Scientist III will develop and deploy Generative AI and NLP models, engage in data lifecycle activities, and ensure ethical AI practices while collaborating with cross-functional teams.

Design and automate forecasting and optimization models for contact center workforce planning. Build scalable Python pipelines, integrate optimization solvers, run scenario analyses, and present insights to leadership to align staffing, budgets, and service-level targets.

This role involves overseeing multi-program delivery in Analytics, Data Science, and AI, managing teams, fostering client relations, and ensuring governance and operational excellence.

The Data Engineer will build and maintain data systems, ensuring data accuracy, accessibility, and security while collaborating with data scientists and leading team activities.

Build and maintain systems for data collection, storage, processing, and analysis; collaborate with data scientists, ensure data integrity and security.

The role involves leading software development lifecycles for ML solutions, innovating in Generative AI, and collaborating on production-ready platforms that leverage AI-driven management.

The role involves the proactive offer release for a Principal Solution Architect focusing on AI and Machine Learning.

The Group Senior SDE will design and maintain software solutions, leading a team, ensuring high-quality standards and promoting agile practices.

The Research Analyst will analyze technology, IP, and provide insights in Generative AI and robotics. The role involves automating processes and collaborating on IP strategy.

As a Supply Chain Analyst, you will ensure production continuity through supply chain visibility, data analysis, and risk modeling, enabling strategic decisions.

The Business Development Manager will drive growth for publisher partnerships, manage onboarding, and leverage existing networks to foster partnerships across App, Web, and CTV.

Manage cross-team delivery in an AI-native engineering organization, focusing on risk management, dependency resolution, and technical communication.

Lead the launch and scale-up of PayJoy's Phone Finance business in India, ensuring successful execution and coordination between global product teams and the India market.

Lead the design and delivery of AI/GenAI solutions, mentor teams, define architecture standards, and integrate various technologies for performance and scalability.

Lead the design and delivery of enterprise AI solutions, overseeing architecture, mentoring teams, and ensuring compliance with standards and best practices.

The Senior AI Engineer will lead the design and implementation of scalable AI solutions, manage MLOps pipelines, and collaborate with cross-functional teams to ensure operational excellence across AI platforms.

Join Airbus as an Aerodynamics Engineer, focusing on aircraft design and validation using CFD and wind tunnel testing while promoting Airbus values.

The role involves leading product strategy and development for balance sheet management solutions using AI and analytics, collaborating with senior stakeholders, and mentoring teams in product management best practices.

Lead design, development, and deployment of Generative AI and LLM solutions across cloud environments. Engage clients, build POCs/POVs, translate business needs into data problems, develop and validate models, and operationalize models with MLOps and DevOps practices while ensuring data governance, security, and domain-aligned solutions.

The Senior Backend Engineer will design, develop, and maintain software solutions for identity verification, focusing on scalability, security, and high performance, while mentoring junior engineers and collaborating in an agile environment.