Top Machine Learning Engineer Jobs in Mumbai

As an AI/ML Engineer at M32 Labs, you'll develop and refine NLP models for AI agents, utilize advanced data retrieval methods, and deploy machine learning solutions in a fast-paced environment.

The ML Ops Engineer will set up and support ML bot inference in live environments, implement CI/CD for ML solutions, and enhance ML inference logic.

As an ML Engineer at FanCode, you'll develop and deploy data-driven solutions, collaborate with teams to identify business needs, and manage complex data ingestion pipelines.

Design and build scalable data and ML platforms, analyze requirements, and operate software services using cloud infrastructure and distributed systems.

The Lead ML Scientist will drive ML projects, implement metrics, manage team dynamics, and develop large-scale ML systems for sports applications.

As a Senior Machine Learning Engineer, you will develop and produce ML models and algorithms, enhancing user experience by personalizing services and optimizing data pipelines. You'll manage cloud deployment of ML systems, ensure quality through testing, and collaborate with stakeholders to solve complex business questions using large-scale data.

The R&D AI Software Engineer will design and implement end-to-end machine learning projects, improve AI pipelines, and contribute to high-quality production code. The role involves working with live data streams, developing benchmark tasks, and enhancing LLM accuracy through innovative data preprocessing techniques.

Work with product managers to enhance ML workflows and tools. Drive improvements in DVC's entry point and optimize ML practices.