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 solutions as we build interactive coaching tools for the firm. You will be part of an innovative team, working closely with business partners, product owners, and fellow data scientists to build new AI/ML solutions and productionlize them. We are looking for someone with a passion for data, ML, and programming, who can build ML solutions at scale with a hands‑on approach and detailed technical acumen. Job Responsibilities 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, analyzing results and tuning 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. Required Qualifications, Capabilities, and Skills Bachelor's degree with 7 years of applied machine learning experience. 5+ years of experience in one of the programming languages like Python, R, Java, etc. Intermediate Python is a must. Experience in applying data science, 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 TensorFlow. 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. Preferred Qualifications, Capabilities, and Skills In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. MS and/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 something less technical for business partners. Deep understanding of Large Language Model (LLM) techniques, including agents, planning, reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. Benefits We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. Equal Opportunity Employer 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. Equal Opportunity Employer / Disability / Veterans. #J-18808-Ljbffr