MLOps Engineer, Mid

MLOps Engineer, Mid

We are seeking an experienced Machine Learning Engineer to design and architect an MLOps platform in the cloud that shortens time from development to production and supports mission‑critical operations.

• Streamline the development life cycle from development to production.
• Collaborate with an Agile development team to build and maintain cloud software and infrastructure that supports machine learning across the enterprise.
• Implement continuous integration and deployment to development, testing, and production environments.
• Identify new opportunities to build solutions and architecture that help customers meet their toughest challenges.

• Proficiency in Object‑Oriented Programming (OOP) in Python.
• Experience developing containerized applications, API design, and authentication.
• Experience developing software using cloud technologies, particularly AWS.
• Experience with MLOps platforms and machine learning CI/CD workflows for model training, deployment, and monitoring.
• Knowledge of the machine learning lifecycle and concepts for building an MLOps ecosystem.
• TS/SCI clearance with a polygraph.
• HS diploma or GED.
• Ability to obtain a Security+ CE, SSCP, CCNA‑Security, or GSEC certification within 6 months of hire.

• Experience developing prompts, tools, and agents with LLMs.
• Experience with AWS Sage Maker, Lambda, API Gateway, DynamoDB, S3, and IAM.
• Experience with Kubernetes.
• Experience with infrastructure as code tools such as Helm and Terraform.
• Experience designing and deploying end‑to‑end automated data and ML pipelines in the cloud.
• Experience with version control tools, including Git.
• Bachelor’s degree preferred;
  Master’s degree a plus.

Base salary range: $77,600.00 to $ (annualized USD). Benefits include health, life, disability, financial, and retirement plans, paid leave, professional development, tuition assistance, work‑life programs, and dependent care.

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.