Start Date
Immediate
Expiry Date
01 May, 25
Salary
0.0
Posted On
01 Feb, 25
Experience
0 year(s) or above
Remote Job
No
Telecommute
No
Sponsor Visa
No
Skills
Data Science, Computer Vision, Machine Learning, Aws, Scikit Learn, Engineers, Computer Science, Azure, Distributed Systems, Python, Nlp
Industry
Information Technology/IT
Vanguard is one of the world’s largest and most respected investment management companies, known for its client-centric approach, low-cost investment products, and commitment to long-term, data-driven investment strategies. Our Enterprise AI and Research (EAiR) team is actively working on advancing AI innovation by integrating cutting-edge concepts into the Vanguard AI ecosystem, establishing strategic AI partnerships, and building enterprise-level AI capabilities to empower Vanguard clients with advanced AI research and technology. The team aims to ultimately accelerate critical business solutions with AI capabilities. Some of the team’s areas of research include areas around Agentic AI, Responsible AI, and Cognitive AI Architecture.
Vanguard is one of the world’s largest and most respected investment management companies, known for its client-centric approach, low-cost investment products, and commitment to long-term, data-driven investment strategies. Our Enterprise AI and Research (EAiR) team is actively working on advancing AI innovation by integrating cutting-edge concepts into the Vanguard AI ecosystem, establishing strategic AI partnerships, and building enterprise-level AI capabilities to empower Vanguard clients with advanced AI research and technology. The team aims to ultimately accelerate critical business solutions with AI capabilities. Some of the team’s areas of research include areas around Agentic AI, Responsible AI, and Cognitive AI Architecture.
QUALIFICATIONS:
ROLE OVERVIEW:
We are looking for a Machine Learning Engineer to join our team and play a critical role in developing scalable, production-ready AI/ML solutions. You’ll work closely with research scientists, software engineers, and business stakeholders to bring machine learning models from research to production, enabling impactful and innovative AI applications in areas such as generative AI, Agentic AI, and responsible AI
This is an exciting opportunity to work on state-of-the-art projects, including large scale language models, generative AI, cognitive systems, and real-time AI pipelines, all while ensuring the highest standards of performance and reliability.
CORE RESPONSIBILITIES: