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Machine Learning Engineer, GenAI Technology at Point72

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI, Data Science, Programming, Python, Java, C++, TensorFlow, PyTorch, Scikit-learn, Problem Solving, Collaboration, Communication, Compliance, Ethics

Industry

Financial Services

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 Develop and maintain scalable AI/ML architectures and systems. Collaborate with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products. 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. 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. 3-7 years of experience in AI/ML engineering, with a proven track record of successful project delivery. Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit- learn). Proficiency in programming languages such as Python, Java, or C++. 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. Commitment to highest ethical standards.

Responsibilities

Develop and maintain scalable AI/ML architectures and systems while collaborating with various teams to integrate AI/ML solutions into products. Evaluate tools and technologies to ensure high quality and performance of AI/ML systems.