Machine Learning Engineer, GenAI Technology
7 days ago
EXPERIENCE
Experienced Professionals
LOCATION
Bengaluru, India
FOCUS
Software & System Engineering
BUSINESS
Point72
A Career with Point72's Technology TeamAs 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.
- 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.
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
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