D
Bengaluru, KA, India
PythonJavaAWSAzure
P
Salary not disclosed
Check market pay for comparable Machine Learning Engineer roles before applying.
Role overview
Job description
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
…About this listing
- Source: Point72's official careers site (via Greenhouse) · last confirmed on the source 3 Nov 2026
- Posted 5 May 2026
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Role market pulse
How Machine Learning Engineer demand looks in India
Live jobs
29
Posted 30d
10
30d movement
-16.7%
Remote share
24.1%
Salary listed
13.8%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
Own the end-to-end lifecycle of GenAI services, including LLM inference, model serving, and proxy/gateway layers that support multiple downstream applications; What's required Bachelor's or Master's degree in Computer Science, Engineering, or a related field; 10+ years of experience in software/AI/ML engineering, with a proven track record of successful delivery of complex, production-grade systems
Department · Technology
Hiring company
Point72
Finance & Banking
Point72 is a leading global alternative investment firm led by Steven A. Cohen that deploys fundamental equities, systematic, macro, private credit, and venture capital strategies.
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