We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III, Machine Learning Engineer at JPMorgan Chase within the Corporate Sector's AI/ML & Data Platforms Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

 

Job responsibilities

Implements distributed ML experimentation and training platform for firm-wide use in accordance with the requirements and architecture.Implements and supports tools and workflows to facilitate machine learning experiments, automated training runs, and production deployments.Extends machine learning libraries and frameworks to support complex experimentation, training, and serving requirements.Delivers thoughtful data scientist experience with APIs and SDKs for the firm-wide machine learning platform.

Collaborates with infrastructure engineering, product management, and security and compliance teams to deliver tailored, robust solutions.

 

Required qualifications, capabilities, and skills

Formal training or certification on machine learning concepts and 3+ years applied experience.Knowledge of software development processes in an ML environment.Hands-on experience with public cloud technologies, especially with AWS, in the context of ML engineering workflows - featurization, experimentation, training, evaluation, deployment, serving, and monitoring.Programming skills in Python and experience with ML frameworks and libraries such as Ray, TensorFlow, PyTorch, Scikit-Learn, JAX, etc.

Strong experience implementing DevOps practices using tools such as Docker, Jenkins, Spinnaker, and Terraform.

 

Preferred qualifications, capabilities, and skills

Knowledge of Big Data and related technologies such as Hadoop, Spark, and Airflow.Knowledge of SageMaker, EMR, and AWS ML stack.Knowledge of Kubernetes ecosystem, including EKS, Helm Charts, and Custom Operators.