Overview
On Site
USD 60-63
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Skills
DEVOPS
AZURE
TESTING
AWS
ML
DEVOPS TOOLS
Job Details
Job Title: MLOps Engineer
Job Location: San Antonio, TX
Job Duration: Long term contract
Interview: Virtual
Job Overview:
We are looking for a skilled MLOps Engineer to join our Data & AI team. This role focuses on building and managing scalable ML infrastructure, automating model deployment, and supporting the lifecycle of ML models in production environments. You'll work closely with data scientists and ML engineers to streamline delivery using Azure ML and DevOps tools.
Key Responsibilities:
- Design and maintain CI/CD pipelines for ML model deployment
- Automate versioning, testing, deployment, and monitoring workflows
- Build ML infrastructure using Infrastructure as Code (Terraform, ARM)
- Monitor model performance, detect drift, and ensure compliance
- Collaborate with cross-functional teams to productionize ML solutions
Requirements:
- Bachelor's in Computer Science, Engineering, or related field
- 3+ years of experience in MLOps, DevOps, or ML Engineering
- Strong Python, Bash, REST API, and containerization (Docker, Kubernetes)
- Hands-on experience with AzureML, Azure DevOps, and MLflow
- Familiarity with orchestration tools (Airflow, Prefect) and cloud platforms (Azure, AWS, Google Cloud Platform)
- AZ-400 or CKA certification is a plus
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.