Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver ML technology products.

As a Senior Lead Software Engineer at JPMorgan Chase, witnin Corporate AI/ML Technnology team, you will play a crucial role in improving, developing, and delivering top-tier technology products in a secure, stable, and scalable manner. In this role, you will use your technical expertise and problem-solving skills to promote substantial business impact and address a wide range of challenges across various technologies and applications.

Job responsibilities

Architects and implements distributed ML infrastructure, including inference, training, scheduling, orchestration, and storage. Develops advanced monitoring and management tools for high reliability and scalability. Optimizes system performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product teams to deliver tailored, technology-driven solutions. Drives decisions that influence the product design, application functionality, and technical operations and processes Integrates Generative AI within the ML Platform using state-of-the-art techniques. Adds to the team culture of diversity, equity, inclusion, and respect Provides hands-on experience with the ability to analyze, write, develop, test, and  release products using Python on AWS Adheres to changing organization policies for in-office presence 3 days a week as this is a Hybrid role.

 Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience Deep expertise in AWS / Azure and Kubernetes ecosystem, including EKS, Helm, Custom Operators and Terraform. Advanced in Python programming language, Java  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 ML systems. Extensive hands-on experience with ML frameworks (TensorFlow, PyTorch, JAX, Scikit-learn). Proven track record in contributing to and optimizing open-source ML frameworks. 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. Proven ability to identify trade-offs, clarify project ambiguities, and drive decision-making Ability to tackle design and functionality problems independently with little to no oversight

Preferred qualifications, capabilities, and skills

Excellent problem-solving and analytical skills Ability to work independently and in a team. Passion for Innovations and continuous Learning Java is a plus