Top Machine Learning Jobs in India

As an AI/ML Engineer, design, develop, and deploy machine learning models and AI solutions for fintech, ensuring integration with cloud platforms and robust data pipelines.

The Senior AI ML Engineer role focuses on developing innovative AI and ML applications, integrating solutions, and emphasizing AI ethics throughout the product lifecycle using frameworks and tools for large language models.

The AI/ML Consultant will design and develop AI solutions for sustainability, collaborating with teams to deliver scalable models and proof of concepts while engaging with clients for successful implementation.

The Software Engineer II role focuses on enhancing Tekion's AI-driven automotive platform by developing LLM control mechanisms, managing agent systems, and optimizing ML model performance to improve dealership outcomes and consumer experiences.

The role involves building a large-scale ML platform, focusing on LLM usage, ensuring safety, performance, and developing orchestration patterns, while leading engineering initiatives in a cloud-based environment.

The role develops Tekion's AI-native platform by implementing machine learning and LLM systems to enhance automotive retail efficiency and personalization.

Lead the AI/ML team to develop anomaly detection and GenAI workflows for regulatory reporting, ensuring model explainability and validation processes. Mentor a team and advocate AI usage to improve operations.

The AI/ML Architect designs, builds, and deploys scalable AI/ML solutions, collaborates with teams, and writes production-grade code.

As a Senior ML Engineer, you'll design production-grade systems for LLM benchmarking, develop LLM Proxy functionality, implement monitoring, and lead automation efforts, collaborating with cross-functional teams to enhance AI-driven experiences at Zendesk.

As a Senior ML Engineer at Kensho, you will develop, deploy, and evaluate ML systems, working with LLMs and data retrieval to enhance AI products.

The Associate - AI | ML Engineer designs and optimizes prompts for large language models, develops supervised machine learning models, prepares data, evaluates model performance, and engages with stakeholders to communicate findings.

The Senior Software Development Engineer in Test will lead quality engineering for AI applications, focusing on automation frameworks, performance testing, and cross-functional collaboration with teams.

As an Engineering Manager, you will lead a team of engineers, oversee project execution, contribute technically, and mentor team members in developing AI applications.

Design and develop scalable software solutions using machine learning, focusing on high-performance applications and data processing pipelines while leading team initiatives.

As an Analyst II at Sprinklr, you will collaborate with teams to build AI products, manage service delivery, and ensure quality in ML projects while maintaining stakeholder communication and documenting processes.

Manage ML operations, overseeing production deployment, operational health, and CI/CD for ML models, while ensuring collaboration with Data Science teams.

Develop embedded AI/ML applications for Microchip platforms, create demos, validate designs, and provide technical support to customers. Collaborate with teams on cutting-edge AI technologies.

The Senior Applications Engineer will develop Edge AI applications for embedded systems, validate designs, and collaborate with teams for customer solutions.

As a Ph.D. Research Intern, collaborate with teams on machine learning projects, conduct research, prototype solutions, and present findings.

The Senior DevOps Engineer will enhance AWS cloud infrastructure for the i-Ready SaaS application, develop CI/CD capabilities, and ensure seamless system integration.

As a ML Platform Engineer, you will implement tools, infrastructure, and pipelines for robotics, focusing on ML applications, collaborating with teams, and mentoring others.

Design, develop, and deploy machine learning solutions, collaborating with teams to enhance AI capabilities and performance through innovative RAG systems.

Lead the development and integration of AI/ML models into web applications, optimize AI solutions, and mentor junior engineers.

Lead the deployment, monitoring, and maintenance of machine learning models in cloud environments, while overseeing a small team and performing advanced data analysis.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.