Senior Machine Learning Engineer

Morning Star — Mumbai

As a Senior Machine Learning Engineer (MLE) on the AI & ML (Data Collection) team, you will play a critical role in delivering AI-powered systems that extracts meaningful data from PitchBook鈥檚 wealth of structured and unstructured data, including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that empower the PitchBook Platform. You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with cross-functional stakeholders, including product managers, engineers, and domain experts, to translate requirements into scalable AI/ML solutions. Strong communication, collaboration, and a focus on delivering reliable systems will be key to your success in this role. Your contributions will help unlock value for PitchBook customers by improving the accuracy, scalability, and efficiency of data extraction, enabling faster and more reliable access to structured information across the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources, and applying ML to enrich our datasets with predictive and generative intelligence. As a senior engineer, you will take ownership of key technical components and ensure that our systems meet the highest standards of performance, reliability, and security. You will be expected to contribute to the team鈥檚 technical excellence by providing guidance through code and design reviews, sharing best practices, and supporting peers when needed. While th

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