Top Machine Learning Jobs in India

As a Forward Deployed ML Engineer at AION, you'll design and develop multimodal AI systems, optimize models, and engage with clients to deliver intelligent agent solutions across various applications.

Analyze encrypted network data, build analysis pipelines, and develop blockchain analytics, requiring strong network protocol knowledge and forensic experience.

The AI/ML Scientist role involves designing advanced simulation models, optimization solutions, and AI/ML methods for container terminal operations, focusing on enhancing efficiency and operational insights.

As a Senior Software Engineer, you will develop scalable AI solutions, ensure production readiness, mentor junior members, and collaborate across teams.

The role involves developing generative AI models, optimizing machine learning pipelines, mentoring junior engineers, and collaborating with cross-functional teams to enhance AI solutions.

Lead the design and implementation of production-grade GenAI services, drive MLOps platform development, and mentor junior engineers in a collaborative AI team.

Design and implement AI/ML solutions for workforce management, focusing on forecasting, scheduling, and LLM integration, while collaborating cross-functionally.

The ML QA Lead ensures quality in Cerebras software across ML workloads, focusing on testing accuracy, performance, and usability. Responsibilities include driving software quality, automating workflows, debugging issues, and collaborating across teams.

The Software Machine Learning Test Engineer will develop test automation for AI components, improve test infrastructure, and ensure software quality for machine learning models using Python and GitLab CI/CD.

Lead AI projects by translating business needs into technical solutions, developing AI applications, and integrating AI capabilities across platforms. Oversee large-scale digital transformation initiatives while mentoring teams and ensuring efficient SDLC processes.

Design, develop, and deploy AI and ML solutions, particularly focusing on LLMs and Generative AI technologies, while collaborating with cross-functional teams and customers.

The ML Engineer III will build, train, and optimize models, perform data processing, productionize models using Databricks, and monitor performance in AWS environments.

The role involves building and operating ML services, converting prototypes into production models, managing pipelines, and ensuring system reliability across Tekion's cloud platforms.

Provide software applications engineering support, perform builds and deployments, design requirements, configure and test applications, and support project standards.

The Staff ML Scientist is responsible for building and optimizing ML models, implementing best practices for MLOps, and conducting exploratory data analysis using Python and its libraries.

The Staff Engineer, Machine Learning will design backend services for AI/ML, implement retrieval systems, optimize performance, and collaborate with ML teams.

The AI/ML Engineer will design, develop, and deploy machine learning models, utilize various learning techniques, and enhance model performance through data processing. They will work with cloud platforms and CI/CD pipelines while leveraging MLOps practices.

Lead the design and deployment of AI/ML solutions focused on sustainability, mentor teams, engage clients, and ensure adherence to responsible AI principles.

The role involves designing, building, and scaling ML/RL systems that enhance customer experience while ensuring reliability and efficiency in production. Responsibilities include model optimization, deployment, and monitoring for performance improvements.

The Architect - Machine Learning role involves designing cloud ML solutions on AWS, implementing Generative AI models, and collaborating with cross-functional teams to enhance LLM performance for user-friendly applications.

The Associate Architect will lead the development and deployment of machine learning solutions on Azure, manage the ML lifecycle, and optimize existing models while providing technical leadership to project teams.

We are seeking a senior ML engineer to lead and architect complex ML systems, mentor engineers, and drive business-critical solutions. Responsibilities include design, deployment, and improvement of ML services while collaborating with business leaders.

The Machine Learning Engineer will design and maintain ML systems, build APIs, develop backend features, and collaborate with cross-functional teams to enhance ML workflows and monitor model performance.

Develop and optimize machine learning infrastructure and models for ad technology. Collaborate with teams for data analysis and engineering.

The Junior AI Developer will design, develop and deploy AI solutions using Python, manage multi-agent workflows, analyze data, and optimize AI models.