Machine Learning Engineer, GenAI Technology

Point72 is hiring a Machine Learning Engineer, GenAI Technology in Bengaluru, India. Level rates it ; you can apply on Point72.

Level's read on this job

Level rates this machine learning engineer role Builds AI ●●●●: the job is building AI systems.
The posting mentions Python, Java and C among its tools and skills.
Level classes it as a lead role.
Point72 has 199 other open roles on Level.

AI in this role

Lead the design, development, and operation of scalable enterprise-grade GenAI architectures, LLM inference, and model serving systems.

PythonJavaCDockerKubernetesAWSAzureGoogle CloudLLM

machine-learningai-architecturesmodel-servingdistributed-systemsmlops

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+ 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.

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.

How we rate this

Machine Learning Engineer, GenAI Technology at Point72 rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Machine Learning Engineer, GenAI Technology is an open job at Point72.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Bengaluru, India.
The job was posted on May 5, 2026.
Seniority: lead.
Applications are handled by Point72. Apply on Point72

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningAI ArchitecturesModel ServingDistributed SystemsMLOpsPythonJavaC

Also common in machine learning engineer jobs at this level

PyTorch TensorFlow Deep learning Spark MLOps Fine-tuning

Pay

Typical machine learning engineer job: $199k

This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where ai architectures was part of your work. What did you do?
Tell me about a project where model serving was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where mlops was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Machine learning, AI Architectures, Model Serving, Distributed Systems, and MLOps. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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