Skip to content

Sr. MLOps Engineer

  • On-site
    • Plano, Texas, United States
  • Information Technology

Sr. MLOps Engineer for an onsite role in Plano, TX. Must have strong Python, ML frameworks, cloud ML platforms, Docker, Kubernetes, and CI/CD experience. Tier 1 university background preferred.

Job description

Job Description

We are looking for a Senior MLOps Engineer with strong experience in building and maintaining machine learning infrastructure and deployment pipelines. The role requires expertise in cloud ML services, automation, and model lifecycle management.

Location: Plano, TX – Onsite
Duration: Long Term
Work Authorization: W2 Only

Technical Skills

  • Strong programming skills in Python and SQL

  • Experience with ML frameworks:

    • TensorFlow

    • PyTorch

    • Scikit-learn

  • Experience with cloud ML platforms:

    • Azure ML

    • AWS SageMaker

    • GCP Vertex AI

  • Containerization and orchestration:

    • Docker

    • Kubernetes

  • CI/CD pipeline tools:

    • GitHub Actions

    • Azure DevOps

    • Jenkins

    • GitLab CI

  • Observability and monitoring tools:

    • Prometheus

    • Grafana

    • MLflow

    • Evidently AI

Preferred Background

  • Candidates from Tier 1 universities preferred

  • Experience working with Deloitte or KPMG preferred

Job requirements

Required Skills

  • Java Full Stack Development

  • Spring Boot

  • REST APIs / Microservices

  • Frontend: Angular or React

  • AWS Cloud Services

  • Database: SQL / NoSQL (like MySQL, Oracle, MongoDB)

  • Version Control: Git

  • CI/CD Tools (Jenkins or similar)

  • Strong problem-solving skills

Years of Experience

  • 8+ years of experience in Java Full Stack Development

  • Strong hands-on experience with Java + AWS

Educational Qualification

  • Bachelor’s degree in: Computer Science, or Information Technology, or Related field

or