MLOps Engineer
Location: San Antonio, TX
Employment Type: Contract
Position Overview
We are seeking an experienced and highly motivated MLOps Engineer to join a growing Data and AI team. This role bridges machine learning development and scalable production systems, ensuring models are deployed reliably, securely, and efficiently across environments.
The MLOps Engineer will design, automate, and manage end-to-end machine learning pipelines that support consistent model training, testing, deployment, monitoring, and governance. The ideal candidate brings a strong foundation in cloud infrastructure, DevOps practices, and machine learning operations within enterprise environments.
Key Responsibilities
• Design, build, and maintain scalable CI/CD pipelines for training, testing, deploying, and monitoring machine learning models
• Develop and manage ML infrastructure to support repeatable and reliable model deployment across staging and production environments
• Automate model versioning, deployment workflows, and rollback strategies
• Collaborate closely with Data Scientists and Machine Learning Engineers to productionize models
• Apply Infrastructure as Code to provision and manage cloud-based ML environments
• Implement observability frameworks including logging, monitoring, and alerting for model drift and data anomalies
• Optimize performance and scalability of model training and inference systems
• Ensure security, compliance, and reliability across cloud platforms
• Maintain comprehensive documentation of ML systems, processes, and workflows
Required Qualifications
• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 3 or more years of experience in MLOps, DevOps, or Machine Learning Engineering
• Experience with Azure DevOps and Azure Machine Learning
• Proficiency with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Hands-on experience with containerization technologies including Docker and Kubernetes
• Strong programming skills in Python, Bash, and PowerShell
• Experience working with REST APIs and integrating distributed systems
• Experience with Infrastructure as Code tools such as Terraform or ARM templates
Preferred Qualifications
• Experience supporting enterprise-scale machine learning initiatives
• Strong understanding of CI/CD best practices for ML workflows
• Familiarity with model governance, security controls, and regulatory considerations
• Strong analytical and troubleshooting skills
• Excellent communication and cross-functional collaboration abilities
Why Apply Through Synergy Consulting Group
Since 2006, Synergy Consulting Group has specialized in delivering high-quality IT staffing and consulting solutions across enterprise environments. We focus on long-term partnerships and thoughtful placements, connecting experienced technology professionals with organizations where they can deliver measurable impact. Our approach prioritizes alignment, technical excellence, and sustained success.