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Machine Learning Engineer, GenAI Technology
Machine Learning Engineer, GenAI Technology
Point72 is seeking a Lead Machine Learning Engineer for their GenAI Technology team in Bengaluru, India. This role involves leading the design, development, and operation of scalable, enterprise-grade AI/ML architectures and systems, with a strong emphasis on reliability and performance. The successful candidate will also lead and mentor a team of engineers while owning the end-to-end lifecycle of GenAI services.
About the role
About the Role
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+ years of experience in software/AI/ML engineering, with a proven track record of successful delivery of complex, production-grade systems.
- Demonstrated experience building large-scale enterprise-grade services with high reliability, availability, and observability (SLO/SLA-driven environments).
- Experience leading other engineers in delivering large-scale solutions iteratively, including setting technical vision, reviewing designs, and growing team capabilities.
- Proficiency in programming languages such as Python, Java, or C++.
- Strong understanding of distributed systems, cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), and modern CI/CD practices.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders and influence across teams.
- Commitment to highest ethical standards.