MLOps Automation Lead — Remote

0101 The Huntington National Bank

United States

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

Huntington National Bank is seeking an experienced MLOps Automation Engineer Lead to streamline data and model development lifecycles and automate CI/CD pipelines. You will collaborate with cross‑functional teams to improve build, test, and deployment processes in a production AWS EKS environment.

The role emphasizes leadership, mentoring, and hands‑on deployment of automated solutions for containerized workloads, with a focus on data and model operations within the enterprise data and analytics

Qualifications

  • Bachelor's Degree in Computer Science, Business Admin, Economics or related field or equivalent experience.
  • 7+ years’ experience in automation engineering, software engineering, or related field.
  • 7+ years’ experience with one or more coding languages (e.g., JavaScript, C++, Python, Java) and CI/CD tools (e.g., Jenkins, Artifactory, CircleCI, Ansible).

Responsibilities

  • Automate development and delivery processes to CI/CD pipelines.
  • Automate data pipelines and model deployment lifecycles.
  • Collaborate with product, architecture, and data teams to optimize build and release processes.
  • Design and maintain AWS EKS infrastructure for ML model deployment and security.

Skills

Automation scripting
CI/CD tooling
Kubernetes
AWS EKS
Terraform

Education

Bachelor’s degree (CS/related)

Tools

Jenkins
Artifactory
CircleCI
Ansible
Docker
Kubernetes
Terraform
Helm

Job description

Huntington National Bank is seeking an experienced MLOps Automation Engineer Lead to streamline data and model development lifecycles and automate CI/CD pipelines. You will collaborate with cross‑functional teams to improve build, test, and deployment processes in a production AWS EKS environment.

The role emphasizes leadership, mentoring, and hands‑on deployment of automated solutions for containerized workloads, with a focus on data and model operations within the enterprise data and analytics

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