AI ML Director

You will be joining an innovative team at JPMorgan Chase to shape the future of software development with AI-driven solutions. As an Applied AI/GenAI ML Director within the Ai4Tect Team, your role will involve utilizing your profound engineering knowledge to collaborate with agile teams in enhancing, creating, and delivering trusted technology products. Your expertise will be instrumental in challenging the norm, innovating for business impact, and spearheading the strategic development of new and existing products and technology portfolios. Your focus will be on establishing common capabilities, best practices, and reusable frameworks to drive AI excellence across business functions. **Key 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 organization-wide. - 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 pipelines. - Advise on the strategy and development of multiple products, applications, and technologies. - Act as a lead advisor on the technical feasibility and business need for AIML use cases. - Liaise with firm-wide AI ML stakeholders. - Translate highly complex technical issues, trends, and approaches to leadership to drive innovation. **Qualifications Required:** - Formal training or certification in Machine Learning concepts and 10+ years of applied experience in programming languages like Python, Java, C/C++, etc. - MS and/or PhD in Computer Science, Machine Learning, or a related field. - Solid understanding of ML techniques, especially in Natural Language Processing (NLP) and Large Language Models (LLMs). - Strong understanding of AI implementation in software development and legacy code transformation. - Familiarity with agentic workflows and frameworks like LangChain, LangGraph. - Experience in deep learning frameworks such as PyTorch or TensorFlow. - Ability to work on system design from ideation through completion with limited supervision. - Excellent communication skills and a team player. - Practical cloud native experience such as AWS is needed. This job requires a strong background in AI/ML, leadership skills, and a passion for innovation. If you meet the qualifications and are excited about the opportunity to work on cutting-edge AI solutions, we encourage you to apply.,