MLOps Engineer

Overview:

We are seeking a talented and experienced MLOps engineer to join our dynamic team. As an MLOps engineer, you will be the architect of seamless integration between machine learning models and production systems. Your role is pivotal in ensuring the reliability, scalability, and efficiency of our machine-learning infrastructure.

Qualifications:

• Bachelor’s or higher degree in Computer Science, Engineering, or a related field.
• **6+ yrs of total relevant experience.**
• **DevOps Engineer who does ML Ops and not the other way around.**
• **1 yr of minimum ML Ops experience is needed, creating ML Models.**
• **Comes from a Development background.**
• Tech Skills: **Terraform, GitHub actions**, Quadrant, Vector Database, **CI/CD, Python**,
  Shell Scripting.
• Cloud –**AWS primarily**, good to have Azure, GCP.
• Strong Comm Skills, Team Player, can wear multiple hats, fast learner, problem
  solving and go getter attitude.

Responsibilities:

• Application deployment via IaC and CI/CD.
  • Terraform, CloudFormation, GitHub Actions.
• Support/enhance developer experience.
  • Implement self service automation/workflows.
  • Create robust development environments and test kits.
• General support.
  • Troubleshooting critical issues.
  • Access provisioning and developer support.
  • Investigating security alerts.