Tier 3 MLOPs Engineer (CVT - 004)

SageCor Solutions•Annapolis Junction, MD

About The Position

SageCor Solutions is seeking a Tier 3 MLOPs Engineer to help ensure the reliability, performance, scalability, and security of critical production systems and platforms. The role works with a collaborative Agile development team to manage Tier 3 incidents and build and maintain cloud software and infrastructure supporting machine learning and AI across the program. An active TS/SCI with Polygraph is required.

Requirements

  • Active TS/SCI with Polygraph.
  • At least 2 years of experience with generative AI concepts and technologies such as Claude, GPT, and Gemini.
  • At least 2 years of experience working in a system administration operations environment.
  • At least 2 years of experience with Tier II and Tier III support and incident management workflows.
  • At least 2 years of experience working with test and evaluation.
  • Knowledge of the ML lifecycle and concepts for developing an MLOps ecosystem.
  • Outstanding written communication skills and ability to translate between technical and non-technical users and developers.
  • Bachelor’s degree or 4 years of experience in a system administration operations environment.
  • Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC certification within 6 months of hire.

Nice To Haves

  • Experience with Python, AWS, Kubernetes, and infrastructure-as-code tools such as Helm and Terraform.
  • Experience developing prompts, tools, and agents with LLMs.
  • Experience designing and implementing end-to-end automated data and ML pipelines in a cloud environment, including building, containerizing, and deploying them.
  • Experience with version control tools, including Git.
  • Security+ CE, SSCP, CCNA-Security, or GSEC certification.

Responsibilities

  • Ensure the reliability, performance, scalability, and security of critical production systems and platforms.
  • Work with an Agile development team to manage Tier 3 incidents.
  • Help build and maintain cloud software and infrastructure supporting machine learning and AI.
  • Handle incident management workflows and support Tier II and Tier III operations.
  • Contribute to developing an MLOps ecosystem based on knowledge of the ML lifecycle and concepts.
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