Software Engineer III-Machine Learning Engineer

As a Software Engineer III/ML Engineer, you have an opportunity to be part of team to build, launch and scale an AI/ML platform for the firm

As a Software Engineer III/ML Engineer, you have the chance to shape the future of AI/ML at a global financial services leader.

Join our AIML Technology team to build and scale advanced machine learning platforms, integrating cutting-edge technologies like Generative AI.

Collaborate with top talent, mentor engineers, and make a real impact in a fast-paced, innovative environment.

If you're passionate about building secure, scalable AI/ML solutions, we want to hear from you!

As a Software Engineer III - Machine Learning Engineer at JPMorgan Chase within the Corporate Sector- AMDP Data Platforms , you will play a crucial role in an agile team.

Your responsibilities will include enhancing, developing, and delivering a company-wide AI/ML/Data Platform in a secure, stable, and scalable manner.

As a technical contributor, your duties will encompass the architecture, design, and construction of AI/ML related capabilities using cloud technology.

You will have the opportunity to work with both traditional AI/ML and Generative AI.

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 the adoption and execution of ML Platform tools across various teams.


* Integrates Generative AI within the ML Platform using state-of-the-art techniques.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 3+ years applied experience.


* Extensive hands-on experience with ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn, Ray or Spark).


* Extensive experience with a Public Cloud provider (AWS, Azure, GCP) and addressing non-functional requirements such as scalability and cross-region resiliency.


* Strong coding skills and experience in developing large-scale ML systems and ensuring Software Best Practices.


* Experience with prompt engineering and interacting with various LLM vendors and models.


* 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.

Preferred qualifications, capabilities, and skills


* Background in High Performance Computing, ML Hardware Acceleration (e.g., GPU, TPU, RDMA)...