Machine Learning Engineer, GenAI Technology
Point72 Asset Management - Bengaluru, India
Posted May 5, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
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- Weekend work
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Application
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Where they hire
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About this role
Machine Learning Engineer, GenAI Technology Bengaluru, India A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company's IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We're a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What you'll do - Lead the design, development, and operation of scalable, enterprise-grade AI/ML architectures and systems with a strong emphasis on reliability, availability, and performance. - Lead and mentor a team of engineers, driving technical direction, code quality, and iterative delivery of large-scale solutions. - Partner closely with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products. - Own the end-to-end lifecycle of GenAI services, including LLM inference, model serving, and proxy/gateway layers that support multiple downstream applications. - Define and uphold engineering best practices around observability, scalability, security, and cost efficiency for AI/ML platforms. - Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems. - Stay abreast of the latest advancements in AI/ML technologies and methodologies, and translate them into pragmatic solutions for the business. - Ensure compliance with industry standards and best practices in AI/ML. What's required - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 10+
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