JPMorgan Applied AI ML Director 

India, Karnataka, Bengaluru 

775515653

Job responsibilities

• Establish and promote a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates.
• Lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization.
• Advise on the strategy and development of multiple products, applications, and technologies.
• Lead advisor on the technical feasibility and business need for AIML use cases.
• Drive adoption and integration of ML solutions across functions.
• Promote experimentation and pilot programs to test new technologies and methodologies.
• Liaise with firm wide AIML stakeholders.
• Create novel code solutions and drives the development of new production code capabilities across teams and functions
• Translate highly complex technical issues, trends, and approaches to leadership to drive the firm’s innovation and enable leaders to make strategic, well-informed decisions about technology advancements.
• Influence across business, product, and technology teams and successfully manages senior stakeholder relationships.
• Champion the firm’s culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

• Formal training or certification on AI/ML concepts and10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
• Experience in Natural Language Processing including Large Language Models.
• Experience in building, evaluating and deploying Machine Learning Models into Production.
• Advanced proficiency in Python developmental toolsets.
• Ability to collaborate with teams and individuals throughout the firm to accomplish common goals.
• Design, coding, testing and debugging skills in Python.
• Flexibility, able to execute against tight deadlines, work with minimum supervision, exercise independent judgment, and prioritize work.
• Strong analytical and problem solving skills.
• Excellent written and verbal communication skills and dealing with ambiguity.
• Understanding of the business.

Preferred qualifications, capabilities, and skills

• Experience within financial services technology.