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

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