Applied AI ML Lead

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Applied AI ML Lead at JPMorgan Chase within the CCB Technology you will lead a specialized technical area driving impact across teams technologies and this role you will leverage your deep knowledge of machine learning software engineering and product management to spearhead multiple complex ML projects and initiatives serving as the primary decision-maker and a catalyst for innovation and solution delivery.

You will be responsible for leading and mentoring a team of Machine Learning and Artificial Intelligence Engineers focusing on best practices in ML engineering with the goal of elevating team performance to produce high-quality scalable ML solutions with operational excellence. You will engage deeply in technical aspects reviewing code mentoring engineers troubleshooting production ML applications and enabling new ideas through rapid prototyping. Your passion for parallel distributed computing big data cloud engineering micro-services automation and operational excellence will be key.

Job Responsibilities

• Lead a team of machine learning engineers ensuring the delivery and support of high-quality ML solutions.
• Collaborate with product teams to deliver tailored AI/ML-driven technology solutions.
• Architect and implement robust cloud-native MLOps pipelines and distributed AI/ML infrastructure (AWS Azure GCP) for scalable efficient deployment and monitoring of models in production.
• Direct the development and deployment of advanced generative AI solutions (LLMs RAG NLP AI Agents) and classical ML models integrating state-of-the-art techniques into the ML platform to create innovative fintech products.
• Develop advanced monitoring and management tools to ensure high reliability and scalability of AI/ML systems.
• Optimize system performance by identifying and resolving inefficiencies and bottlenecks.
• Drive the adoption and use of AI/ML platform tools across teams.
• Define and enforce robust AI governance and Responsible AI frameworks ensuring all solutions are fair transparent and compliant with regulatory requirements.
• Oversee the full AI/ML product lifecycle from planning and execution to future development adapting and developing new products and methodologies to meet business goals.
• Mentor and develop a team of AI/ML professionals promoting a culture of excellence continuous learning and professional growth.

Required Qualifications Capabilities and Skills

• Bachelors degree or PhD or Masters in Computer Science Engineering Data Science or related field
• 5 years of experience in Machine Learning and Artificial Intelligence engineering.
• Extensive hands-on technical experience with AI/ML frameworks (TensorFlow PyTorch JAX scikit-learn).
• Deep expertise in cloud engineering (AWS Azure GCP) and distributed microservice architecture.
• Experience with Kubernetes ecosystem including EKS Helm and custom operators.
• Background in high performance computing and ML hardware acceleration (GPU TPU RDMA).
• Strategic thinker with the ability to drive technical vision for business impact.
• Demonstrated leadership working effectively with engineers data scientists and ML practitioners.

Preferred Qualifications Capabilities and Skills

• Strong coding skills and experience developing large-scale AI/ML systems.
• Proven track record contributing to and optimizing open-source ML frameworks.
• Recognized thought leader in the field of machine learning.
• Hands-on experience with generative AI and LLMs in production settings.
• Cloud AWS Machine Learning Certification or any GenAI Certifications

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