Top Machine Learning Engineer Jobs in Mumbai

As a GenAI Architect, you'll advise customers on utilizing GenAI technology through hands-on delivery, drive customer satisfaction, lead complex projects, and collaborate across teams to enhance ServiceNow's offerings while contributing to documentation and thought leadership.

The Senior Software Development Engineer in ML Operations will enable Machine Learning teams by optimizing the Machine Learning Development Life Cycle through tools and support. Responsibilities include collaboration in an Agile environment, mentoring, technical guidance, and addressing common pain points. The role focuses on building AI solutions and involves evaluating frameworks, technology, and processes to enhance business value.

As a Senior Machine Learning Engineer at Atlassian, you will develop and implement cutting-edge machine learning algorithms, train complex models, and collaborate with teams to integrate AI features into Jira. Your role involves designing system architectures, conducting experiments, guiding junior engineers, and ensuring the practical application of AI within the product.

The GCOA Enterprise Architect at Lilly is responsible for developing innovative technology solutions that enhance business productivity and efficiency. This role involves strategizing technology roadmaps, determining system architecture, aligning IT with business goals, and documenting processes through architectural models. The architect will work closely with stakeholders to ensure optimal technology usage and integrate emerging technologies into business processes.

As an Associate in the Credit Risk - Wholesale Credit Quantitative Research team, you'll apply machine learning methodologies and data science skills to improve credit risk processes. You will develop AI solutions, analyze data to drive insights, and create data visualizations for senior management, focusing on both efficiency and effectiveness in managing wholesale credit risk.

As a Senior Engineer on the ML Platform team at CrowdStrike, you will build and maintain scalable ML pipelines, contribute to the development of the ML Experimentation Platform, and collaborate with Data Scientists and Engineers. You’ll facilitate the adoption of modern data and ML solutions, modularize complex ML code, and ensure adherence to software development best practices.

The Engineer III - ML Platform at CrowdStrike will design and build a modern Data+ML platform, enhance ML pipelines, and collaborate with various stakeholders to drive machine learning initiatives at scale. Key responsibilities include establishing deployment patterns, modularizing ML code, and utilizing cloud services for efficient data processing.

As a Senior Software Engineer at ABBYY, you will drive the end-to-end development and delivery of scalable features and systems, ensure high standards of quality and performance, and collaborate with cross-functional teams. Your role includes monitoring system reliability, conducting code reviews, and continuously improving development processes while innovating with new technologies.