Lead Software Engineer

Found in: Talent US C2 - 1 week ago


Jersey City, United States JPMorgan Chase & Co. Full time

The A12 team is an elite machine learning group strategically located within the CTO office of JP Morgan Chase which tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. 

As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector, specifically the AI2 Team, you will be instrumental in collaborating with various business and engineering teams across the firm. Your role will involve executing long-term projects that require substantial machine learning development to support the growth of JPMorgan Chase businesses. Leveraging your software engineering experience, you will contribute to the design, development, deployment, delivery, and maintenance of AI products for our clients. You will work alongside other engineers and research scientists to build and maintain the software and infrastructure that enables our team to develop and deliver innovative AI products that meet our customers' needs in a production environment.

Job responsibilities

Collaborates with data scientists and research/machine learning engineers to deliver products to production. Builds and maintains data pipelines for analytics, model evaluation and training (includes versioning, compliance, and validation). Builds and maintains scalable infrastructure as code in the cloud (private & public). Builds frontend interfaces leveraging modern web stacks. Contributes significantly to architecture and software management discussions & tasks Develops/establishes reusable components and patterns that assist in rapid prototyping and overall software development around AI/ML products: Builds and automates and maintains our AI/ML data pipelines & workstream from data analysis, experimentation, model training, model evaluation, deployment, operationalization, and tuning to visualization. Improves and maintains our automated CI/CD pipeline while collaborating with our stakeholders, various testing partners and model contributors. Increases our deployment velocity, including the process for deploying models and data pipelines into production.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience Proven programming/scripting skills with multiple modern programming languages including Python, Java, TypeScript and similar. Experience with web development frameworks ex. React, or similar. Passion for building great user experiences for the clients, attention to detail. Experience in cloud infrastructure such as AWS, GCP or Azure Hands-on experience with software design, problem solving and debugging skills. Strong interpersonal skills; able to work independently as well as in a team. Experience with database systems such as Elasticsearch, DynamoDB, Aurora, BigQuery, Postgres, Cassandra, Redis. Experience in containerization and infrastructure as code: Docker/Kubernetes/Terraform

Preferred qualifications, capabilities, and skills

Developing best practices and code reviews. Ability to continuously learn and share best practices and provide guidance to less experienced colleagues as they learn. Experience with deep learning frameworks such as TensorFlow or Pytorch. Experience with data labelling, validation, provenance, and versioning.
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