Lead Applied AI ML Data Scientist

Description

As Lead Applied AI ML - Data Scientist within the Commercial & Investment Banks Global Banking team youll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team align cross-functional stakeholders engage senior leadership and drive business results.

Job Responsibilities:

• Lead a local AI/ML team with accountability and engagement into a global organization.
• Mentor and guide team members fostering an inclusive culture with a growth mindset.
• Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation.
• Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications define milestones and ensure timely delivery.
• Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders.
• Exercise sound technical judgment anticipate bottlenecks escalate effectively and balance business needs versus technical constraints.
• Design experiments establish mathematical intuitions implement algorithms execute test cases validate results and productionize highly performant scalable trustworthy and often explainable solution.
• Mentor junior team members delivering successful projects and building successful career in the firm.
• Participate and contribute back to firmwide Machine Learning communities through patenting publications and speaking engagements.
• Evaluate and design effective processes and systems to facilitate communication improve execution and ensure accountability.

Required qualifications capabilities and skills

• Masters with 7 years experience or PhD with 3 years of experience in Computer Science Information Systems Statistics Mathematics or equivalent experience.
• Track record of managing AI/ML or software development teams.
• Experience as a hands-on practitioner developing production AI/ML solutions.
• Knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality and design effective metrics and hypotheses.
• Expert in at least one of the following areas: Large Language Models Natural Language Processing Knowledge Graph Reinforcement Learning Ranking and Recommendation or Time Series Analysis.
• Good understanding of Data structures Algorithms Machine Learning Data Mining Information Retrieval Statistics.
• Must have good knowledge on agentic patterns and relevant frameworks such as LangChain LangGraph Auto-GPT etc.
• Strong understanding of AI implementation in software development and legacy code transformation.
• Experience in advanced applied ML areas such as GPU optimization finetuning embedding models inferencing prompt engineering AI evaluation RAG (Similarity Search).
• Demonstrated expertise in machine learning frameworks: Tensorflow Pytorch pyG Keras MXNet Scikit-Learn.
• Programming knowledge of python spark; Strong grasp on vector operations using numpy scipy etc

Preferred qualifications capabilities and skills

• Familiarity in AWS Cloud services such as EMR Sagemaker etc.
• Strong people management and team-building skills. Ability to coach and grow talent foster a healthy engineering culture and attract/retain talent. Ability to build a diverse inclusive and high-performing team.
• Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication solid negotiation skills and strong leadership.