JPMorgan Software Engineer II AI2 

United Kingdom, England, London 

558905150

Responsibilities

• Collaborate with data scientists and research/machine learning engineers to deliver products to production.
• Build and maintain data pipelines for analytics, model evaluation and training (includes versioning, compliance and validation).
• Build and maintain scalable infrastructure as code in the cloud (private & public).
• Build frontend interfaces leveraging modern web stacks.
• Rapid prototyping & shorten development cycles for our software and AI/ML products:
  • Build and automate and maintain our AI/ML data pipelines & workstream from data analysis, experimentation, model training, model evaluation, deployment, operationalization, and tuning to visualization.
  • Improve and maintain our automated CI/CD pipeline while collaborating with our stakeholders, various testing partners and model contributors.
• Increase our deployment velocity, including the process for deploying models and data pipelines into production.

Requirements

• Minimum Bachelor of Science degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
• Proven programming/scripting skills with multiple modern programming languages including Python, Golang, TypeScript and similar.
• Experience in professional software development.
• Experience in cloud infrastructure such as AWS, GCP or Azure.
• Experience with software design, problem solving and debugging skills.
• Strong interpersonal skills; able to work independently as well as in a team.
• Experience in containerization and infrastructure as code: Docker/Kubernetes/Terraform

Desirable

• You have a strong commitment to development best practices and code reviews.
• You believe in continuous learning, sharing best practices, encouraging and elevating less experienced colleagues as they learn.
• Experience with deep learning frameworks such as TensorFlow or Pytorch.
• Familiar with messaging tools such as Apache Airflow, Kafka, etc.
• Experience with database systems such as Elasticsearch, DynamoDB, Aurora, BigQuery, Postgres, Cassandra, Redis.
• Familiar with monitoring tools such as Prometheus, Grafana, Splunk and Datadog