Senior Lead Software Engineering - AI/ML Platform

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 within the Corporate Sector, AI/ML Technology, you play an integral role in an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

In this role you will drive significant business impact using your capabilities and contributions.

You will apply your deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple 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


* 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 oversigh

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


* Experince with Ja...