Lead Machine Learning Operations Engineer

3 weeks ago


Houston, Texas, United States The Friedkin Group Full time
About the Job

The Friedkin Group is seeking an experienced Lead Machine Learning Operations Engineer to join our Corporate Data & Analytics Team. As a key member of our team, you will play a pivotal role in implementing DevOps and ML Ops practices to support AI/ML application enablement across our companies.

Responsibilities
  • Drive Adoption of Best Practices in DevOps and ML Ops to accelerate the deployment of AI/ML and data-driven solutions.
  • Develop Automated Build and Deployment Processes using CI/CD pipelines for AIML application development and deployment.
  • Collaborate with Cross-Functional Teams to ensure applications are highly available and scalable.
  • Establish and Maintain Best Practices for cloud security, compliance, and cost optimization.
Requirements
  • 10+ Years of Experience in software engineering with a strong background in DevOps and Infrastructure as Code, supporting Machine Learning and Data Science workloads.
  • Expertise in Code Versioning Tools such as Gitlab, GitHub, Azure DevOps, and Bitbucket.
  • Experience Deploying Machine Learning Solutions on cloud platforms such as AWS, Azure, or GCP.
  • Strong Knowledge of Infrastructure Automation Tools such as Terraform, Ansible, and CloudFormation.
What We Offer

The Friedkin Group offers a comprehensive benefits package that includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. We also offer opportunities for career growth and leadership development.

If you are a motivated and skilled individual with a strong background in DevOps and ML Ops, we encourage you to apply for this exciting opportunity.



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