Rate: $70
Irving, TX Onsite M- F
Position: MLOps Engineer
Main focus –
ML Engineering/MLOps
Data Engineering
Required Skill Set:
• Proficiency in Python and shell scripting, with a focus on build automation and deployment processes
• Strong knowledge of cloud platforms (particularly AWS) and infrastructure-as-code principles
• Familiarity with artifact repositories (e.g., Artifactory) and version control systems (e.g., Git)
• Understanding of AI/ML development workflows and the specific infrastructure requirements for deploying AI/ML models
• Extensive experience in DevOps practices, CI/CD pipelines, and containerization technologies (Docker, Kubernetes)
This position will play a crucial role in modernizing our build and deployment infrastructure to better support AI/ML development in our IoT services. The contractor will replace outdated build tools with a more flexible, Python-friendly system that aligns with our existing software deployment practices, enabling efficient development and deployment of AI/ML projects to AWS.
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