Applied AI ML Lead - Sales Science

Join our Sales Science Data and Analytics team and help us utilize AI and LLM tools to optimize banker and client engagement. As an Applied AI ML Lead on the Sales Science team, you will contribute to innovative projects and drive the future of field AI Technologies, leveraging ML tools and algorithms to deliver the right solutions as we build interactive coaching tools for the firm.

• Serve as a subject‑matter expert on a wide range of ML techniques and optimizations.
• Build and enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
• Conduct experiments using the latest ML technologies, analyze results, and tune models.
• Actively engage in hands‑on coding to convert experimental results into robust production solutions.
• Take full ownership of the entire code development lifecycle in Python, from proof of concept and experimentation to delivering production‑ready solutions.
• Integrate generative AI within the ML platform using state‑of‑the‑art techniques.

• Bachelor’s degree with 7+ years of applied machine‑learning experience.
• 5+ years of experience in a programming language such as Python, R, or Java; intermediate Python is a must.
• Experience applying data science and ML techniques to solve business problems.
• Solid background in natural language processing (NLP) and large language models (LLMs).
• Experience with machine‑learning and deep‑learning methods.
• Deep understanding and expertise in deep‑learning frameworks such as PyTorch or Tensor Flow.
• Ability to work on tasks and projects through to completion with limited supervision.
• Passion for detail and follow‑through. Excellent communication skills and team player.

• In‑depth understanding of search/ranking, recommender systems, graph techniques, and other advanced methodologies.
• MS or PhD in Computer Science, Machine Learning, or a related field, with at least 5 years of applied machine‑learning experience preferred.
• Advanced knowledge in reinforcement learning or meta learning.
• Software development experience is a plus.
• Demonstrated ability to translate LLM pipelines/workflows into less technical language for business partners.
• Deep understanding of LLM techniques, including agents, planning, reasoning, and related methods.
• Experience building and deploying ML models on cloud platforms such as AWS, and using AWS tools like Sage Maker or EKS.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal‑opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.