Lead Al Scientist

Role: Lead Al Scientist

Location: Remote

Job Description - Lead Al Scientist

What is the opportunity?

Capital Markets Data Al and Research Technology (DART) team is looking to hire a seasoned "hands on" Al Scientist to lead our Al efforts in Quant and Tech Services. The role will be responsible for applying Generative Al techniques to build solutions for Capital markets use cases.

What will you do?

• Build end to end Al & ML solutions
• Build agents (RAG and Otherwise) leveraging enterprise data which help capital markets Research, Banking, Sales and Trading
• Manage Al Ops and pipelines for Generative Al needs
• Design and develop reusable frameworks to enable faster time to market for agents
• Develop the technology vision for the next wave of Generative Al technologies
• Expected to code 90% of the time (DSA is a plus)

What do you need to succeed?

• Master's degree in computer science, Machine Learning, Deep Learning or equivalent experience.
• 5+ years of experience building Deep Learning or Machine Learning models
• In dept knowledge of Machine Learning, deep learning, NLP, Information extraction and Generative Al.
• Ability to function as the primary contributor building Generative Al solutions alongside the team while guiding the rest of the team on best practices, code reviews etc.
• Knowledge or understanding of Embeddings, Re-rankers and agentic frameworks.
• Knowledge or understanding of Inferencing, fine-tuning and model architectures.
• In depth knowledge and experience building front to back Al Operations including experimentation, model evals and model monitoring.
• In depth knowledge of Algorithms and Data Structures
• Knowledge of distributed computing
• Engineers should be able to
  • write code expert level
  • answer at expert level for System Design question
  • have exposure to working with data , some understanding on Classic ML
  • and experience with Gen AI stack (evaluation included in system design).