Machine Learning Architect

Key Role:

Explore and exploit data sources through the use and creation of scientific processes and technologies to uncover and communicate business insights. Apply advanced consulting skills, extensive technical expertise, and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction and mentor and supervise team members.

Basic Qualifications:

  • 3+ years of experience within machine learning engineering, data scientist, data engineering or architecture
  • Experience with researching, designing, and developing ML systems for production grade solutions
  • Experience with software systems, including software architecture, development, testing, and managing configuration baselines
  • Experience with data science or artificial intelligence and machine learning model development
  • Experience with open-source container-orchestrations systems, including Docker or Kubernetes
  • Experience with developing solutions leveraging DevSecOps and CI/CD best practices
  • Experience with cloud platforms, including Azure, AWS, or GovCloud
  • Ability to obtain a security clearance
  • Bachelor's degree

Additional Qualifications:

  • Experience with process automation software & orchestration
  • Experience with Machine Learning Operations framework
  • Ability to understand and present technical methodologies, tradeoffs, and value propositions to executive level clients and internal leadership

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.

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