Sr. MLOps Engineer

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

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