Top Machine Learning Engineer Jobs in Mumbai

The ML Engineer at FanCode will engage with product and management teams to understand and solve user problems, conduct exploratory data analysis, and build data pipelines and models. The role involves a significant focus on model deployment, communication of business impacts, and collaborative efforts with analytics and tech teams.

The SDE 2 in ML & Data Platform will analyze requirements, design software solutions, build scalable distributed systems, deploy cloud-native services, and maintain production systems while using observability tools. The candidate will take ownership of services and provide clear communication regarding project status.

The Lead ML Scientist will implement success metrics, drive experimentation of new POCs, develop and evaluate predictive models, design large-scale ML systems, and manage teams and stakeholders to align project goals with business objectives.

As an AI/Machine Learning Engineer, you will design and implement applications centered around Generative AI, deploying large language models in cloud environments and collaborating with cloud architects and developers. Proficiency in Python is essential, alongside knowledge of cloud AI services and machine learning frameworks. You will also address customer problems and present your work effectively.

As an ML Engineer at FanCode, you will communicate with Product and Management teams, conduct exploratory data analysis, and build data ingestion pipelines and models for deployment. You will spend 60-70% of your time on model deployment and ensure effective communication of the solutions' business impact.

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.

As a Software (ML Product) Engineer, you will enhance the user experience of ML tools by optimizing workflows and processes. You will collaborate with technical product managers, contribute to defining efficient ML practices, and improve DVC, an open-source tool for machine learning. A strong background in deep learning and system design is necessary to transform current workflows and engage with the ML community.

Senior Machine Learning Engineer role at Kayzen, revolutionizing AdTech with machine learning. Responsible for accelerating experimentation and deployment, robust model monitoring, collaborating with data scientists, productionizing pipelines, driving innovation, and championing software engineering best practices.