As Lead Applied AI ML - Data Scientist within the Commercial & Investment Bank's Global Banking team, you’ll 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 Lang Chain, Lang Graph, 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.