Demo

Senior Machine Learning Operations Engineer

The Friedkin Group
Houston, TX Full Time
POSTED ON 1/22/2025
AVAILABLE BEFORE 4/22/2025

Living Our Values

At The Friedkin Group, our core values shape every aspect of our operations. We believe that by upholding these values, we create lasting benefits for our associates, shareholders, and the communities we serve.

Why Join Us?

  • Career Growth : Propel your career forward with opportunities for leadership and personal development.
  • Culture of Excellence : Join a supportive team where your contributions are valued and innovation is encouraged.
  • Competitive Benefits : Take advantage of a comprehensive benefits package tailored to meet your professional and personal needs.

Total Rewards

Our Total Rewards package reflects our dedication to recognizing your contributions. It includes a competitive compensation structure that rewards performance and is based on your skills, experience, and qualifications. Benefits include medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. For more details, please see our Benefits page.

A Day In The Life

As a Senior Machine Learning Operations Engineer, you will be at the forefront of implementing DevOps and ML Ops practices within our Corporate Data & Analytics Team, supporting AI / ML application enablement across various companies. Your main goal will be to promote best practices in DevOps and ML Ops, facilitating the swift deployment of AI / ML and data-driven solutions that align with our business objectives. We are looking for a motivated professional with a solid background in DevOps and ML Ops, a comprehensive understanding of Infra Ops, and substantial knowledge of AI / ML data and analytics cloud services and components. You will work alongside data scientists, machine learning engineers, data engineers, software engineers, and platform architects, leveraging the latest tools and technologies to deploy and maintain AI / ML and analytics solutions and integrate analytic models with existing business applications.

As a Senior Machine Learning Operations Engineer, you will :

  • Develop and automate build and deployment processes to enable continuous software delivery, enhancing existing CI / CD pipelines for AI / ML application development.
  • Collaborate with data scientists, data engineers, data analysts, software engineers, IT specialists, and stakeholders to expedite AI application deployment via CI / CD pipelines while maintaining SLAs for these applications at the centralized platform.
  • Design, develop, and maintain infrastructure using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and CloudFormation.
  • Templatize existing Databricks CLI codes to manage the Databricks platform as code for AI / ML data pipelines, including batch and streaming processes.
  • Improve existing DevOps practices to enhance the overall AI / ML application development lifecycle.
  • Work closely with cross-functional teams to ensure applications are highly available and scalable.
  • Collaborate with development teams and the cloud platform team to ensure infrastructure meets application requirements.
  • Establish and uphold best practices for cloud security, compliance, and cost optimization.
  • What We Need From You

  • Bachelor's Degree in Computer Science, Computer Engineering, Information Technology, Software Engineering, or a related technical discipline with 10 years of software engineering experience, preferably supporting ML and Data Science workloads; or a Master’s Degree with 5 years of relevant experience.
  • Expertise in code versioning tools, such as GitLab, GitHub, Azure DevOps, and Bitbucket, with a preference for GitHub and knowledge of branch-level code repository management.
  • Experience in deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, GCP), with a preference for Databricks and AWS.
  • Proficiency with GitHub actions to automate testing and deployment of data and ML workloads from CI / CD providers to Databricks.
  • Strong knowledge of infrastructure automation tools such as Terraform, Ansible, and CloudFormation.
  • Experience with data processing frameworks / tools / platforms like Databricks, Apache Spark, Kafka, Flink, and AWS services for batch processing, batch streaming, and streaming.
  • Experience containerizing analytical models using Docker and Kubernetes or similar container orchestration platforms.
  • Technical expertise across all deployment models on public cloud, private cloud, and on-premises infrastructure.
  • Experience in event-driven and microservice architectures for enterprise-level platform development.
  • Expertise in Linux and knowledge of networking and security concepts.
  • Excellent communication skills coupled with a strong drive and ownership mentality.
  • Ability to coach and mentor individuals and teams.
  • Physical and Environmental Requirements

    The physical requirements for this role include analyzing and interpreting data, effective communication, and remaining stationary for extended periods. Daily tasks may involve accessing, inputting, and retrieving information from computers and other office productivity devices. Regular office movement and occasional lifting up to 25 pounds are also expected.

    Travel Requirements

    This position may require occasional travel (up to 20%) to other sites, including out-of-state locations, as needed for business purposes.

    Join Us

    The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities and providing reasonable accommodations for individuals with disabilities. Diversity is celebrated and we strive to create an inclusive environment for all associated.

    We are seeking candidates who are legally authorized to work in the United States without the need for sponsorship.

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