Senior Python AI/ML Ops Engineer (Databricks)

JPMorganChase

Wilmington (DE)

On-site

USD 120,000 - 170,000

Full time

35 hours ago
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Job summary

JPMorganChase seeks a Software Engineer III - Python/AI/MLOps to join its Corporate Technology team in Wilmington, DE. You will design and deliver secure, scalable software solutions, partnering with model developers to productionize ML models and modernize workflows using Databricks, Spark, and Terraform.

You will contribute to the SDLC with AI-assisted tooling, implement observability, and ensure robust performance across cloud-based data processing tasks in AWS.

Qualifications

  • Formal training or certification in software engineering concepts.
  • 3+ years of applied software engineering experience.
  • Proficiency in Python and Spark for data processing.
  • Experience with Databricks, Spark, and ML platforms.
  • Familiarity with AI-assisted development tools and secure coding.

Responsibilities

  • Executes software solutions and design with scalable, secure approaches.
  • Creates secure, high-quality production code and maintains algorithms.
  • Leverages AI coding assist tools to improve code quality and speed.
  • Designs and builds scalable ML platform capabilities on Databricks.
  • Productionizes models with Python and Apache Spark.
  • Modernizes ML workflows from SageMaker to Databricks.
  • Builds infrastructure as code with Terraform.
  • Implements monitoring with CloudWatch and Datadog.

Skills

Python
Spark
Databricks
Terraform
CloudWatch

Education

Formal software engineering training

Tools

Databricks
AWS
CloudWatch
Datadog

Job description

JPMorganChase seeks a Software Engineer III - Python/AI/MLOps to join its Corporate Technology team in Wilmington, DE. You will design and deliver secure, scalable software solutions, partnering with model developers to productionize ML models and modernize workflows using Databricks, Spark, and Terraform.

You will contribute to the SDLC with AI-assisted tooling, implement observability, and ensure robust performance across cloud-based data processing tasks in AWS.

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