JPMorgan Chase is looking to solve complex technical problems in machine learning, software engineering, and product management to drive impact across teams, technologies, and projects within the Corporate Sector – AIML Data Platforms.
Requirements
- Formal training or certification on engineering concepts and 10+ years applied experience.
- Extensive hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn).
- Deep expertise in Cloud Engineering (AWS, Azure, GCP) and Distributed Micro-service architecture.
- Experienced with Kubernetes ecosystem, including EKS, Helm, and custom operators.
- Background in High Performance Computing, ML Hardware Acceleration (e.g., GPU, TPU, RDMA), or ML for Systems.
- Strong coding skills and experience in developing large-scale AI/ML systems.
- Proven track record in contributing to and optimizing open-source ML frameworks.
Responsibilities
- Lead and manage a team of machine learning engineers, ensuring the implementation, delivery, and support of high-quality ML solutions.
- Collaborate with product teams to deliver tailored, AI/ML-driven technology solutions.
- Architect and implement distributed AI/ML infrastructure, including inference, training, scheduling, orchestration, and storage.
- Develop advanced monitoring and management tools for high reliability and scalability in AI/ML systems.
- Optimize AI/ML system performance by identifying and resolving inefficiencies and bottlenecks.
- Drive the adoption and execution of AI/ML Platform tools across various teams.
- Integrate Generative AI and Classical AI within the ML Platform using state-of-the-art techniques.
Other
- 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization.
- Strategic thinker with the ability to craft and drive a technical vision for maximum business impact.
- Demonstrated leadership in working effectively with engineers, data scientists, and ML practitioners.
- Manage, mentor, and develop a team of AI/ML professionals in a way that promotes a culture of excellence, continuous learning, and supports their professional goals.
- Bachelor's degree or higher in a relevant field (not explicitly mentioned but implied)
