Advanced DevOps Engineer for AI and Data Science

3 weeks ago

Houston, Texas, United States The Friedkin Group Full time

Overview

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  • The Friedkin Group is a leading organization with a strong commitment to innovation and excellence.
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Salary: $160,000 - $200,000 per year, depending on experience.

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Job Description:

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We are seeking an experienced Lead Machine Learning Ops 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 The Friedkin Group of companies.

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Your primary responsibility will be to drive the adoption of best practices in DevOps and ML Ops, accelerating the deployment of AI/ML and data-driven solutions that meet our business needs. You will collaborate closely with data scientists, machine learning engineers, data engineers, software engineers, and platform architects, utilizing the latest tools and technologies to deploy and maintain AI/ML and advanced analytics solutions, as well as integrate analytic models with existing business applications.

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Key Responsibilities:

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  • Develop automated build and deployment processes to enable continuous delivery of software releases, enhance the existing CI/CD pipelines for AIML application development and deployment.
  • Collaborate with data scientists, data engineers, data analysts, software engineers, IT specialists, and stakeholders to accelerate deployment of AI applications via CI/CD pipelines and maintain the SLAs of those applications at the centralized platform.
  • Design, develop and maintain infrastructure using infrastructure as code tools such as Terraform, Ansible, CloudFormation etc.
  • Templatize existing Databricks CLI codes to manage Databricks platform as code for AIML data pipelines (batch processing, batch streaming and streaming) and model serving endpoints.
  • Enhance the existing DevOps practices to improve the overall AIML application development lifecycle.
  • Work closely with cross-functional teams to ensure that applications are highly available and scalable.
  • Collaborate with development teams and cloud platform team to ensure that infrastructure meets the requirements of the application.
  • Establish and maintain best practices for cloud security, compliance, and cost optimization.
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Requirements:

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We seek a motivated and skilled individual with a strong background in DevOps and ML Ops, a deep understanding of Infra Ops, and solid knowledge of AI/ML data and analytics cloud services and components. To be successful in this role, you will need:

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  • Bachelor's Degree Computer Science, Computer Engineering, Information Technology, Software Engineering or equivalent technical discipline and 10+ years of experience in software engineering with a strong background in DevOps and Infrastructure as Code, supporting Machine Learning and Data Science workloads preferred.
  • Master's Degree Computer Science, Computer Engineering, Information Technology, Software Engineering or equivalent technical discipline and 5+ years of experience in software engineering with a strong background in DevOps and Infrastructure as Code, supporting Machine Learning and Data Science workloads preferred.
  • Expertise on code versioning tools, such as Gitlab, GitHub, Azure DevOps, Bitbucket etc., GitHub Preferred, familiar with branch level code repository management.
  • Experience deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). Databricks, and AWS Preferred.
  • Proficient with GitHub actions to automate testing and deployment of data and ML workloads from CI/CD provider to Databricks.
  • Strong knowledge of infrastructure automation tools such as Terraform, Ansible, CloudFormation etc.
  • Experience with data processing frameworks/tools/platform such as Databricks, Apache Spark, Kafka, Flink, AWS cloud services for batch processing, batch streaming and streaming.
  • Experience containerizing analytical models using Docker and Kubernetes or other 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.
  • Effective communication skills and a sense of ownership and drive.
  • Capable of coaching/mentoring individuals and teams.
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Physical and Environmental Requirements:

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The physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the work day and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds.

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Travel Requirements:

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The associate is occasionally required to travel to other sites, including out-of-state, where applicable, for business.

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Why Choose Us:

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The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. We celebrate diversity and are committed to creating an inclusive environment for all associates.

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