JPMorgan Applied AI ML Director GPB Operations Core Technology 

India, Karnataka, Bengaluru 

264098518

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.
• Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques
• Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipeline
• 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.
• Leverage AI/ML to generate insights and recommendations for business actions, to reduce costs, to increase capabilities, to enhance controls, and to improve employee experiences.
• Build and manage team with responsibility for developing and delivering AI/ML solutions to support AWM - GPB Operations and Core Technology Product Areas
• Drive internal development, promote reuse and partnership of AI/ML techniques and tools with groups across the firm, and leverage vendor solutions, as appropriate
• Partner with AWM AI/ML and Architecture teams to architect and implement scalable, cost effective, enterprise quality data and analytics systems
• Ensure conformance with all applicable controls, policies, and procedure

Required qualifications, capabilities, and skills

• Formal training or certification on Machine Learning concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
• Demonstrated management skills in leading data scientists
• MA/MBA or PhD/ScD in quantitative discipline relating to data science or statistics
• Expertise with modern AI/ML algorithms, techniques, software, and their practical application to build enterprise scale solutions
• Practical experience with statistical data analysis and experimental design
• Practical software development experience in collaborative project settings, including rapid prototyping and disciplined software development processes
• Leadership and executive presence – demonstrated credibility as a thought leader and influencer
• Strong project management skills – track record of driving execution and delivery
• Excellent communications skills – can concisely, clearly, and accurately share ideas