Machine Learning Engineer

• Implement data pipelines at scale, including both the synthesizing of new pipelines and the refactoring of existing pipelines to improve efficiency and code correctness.
• Monitor and improve existing data science tools in support of transition from development to production systems.
• Design, implement, and enhance ML analytics using a wide variety of Python libraries including, but limited to, PyTorch, NumPy, Pandas, and Scikit-learn.
• Train, test, track and curate models using standard tools and practices.
• Integrate GitOps for continuous integration and deployment of models using Docker scaling.
• Use AWS services such as EC2, S3, and RDS for building and deploying applications.
• Integrate model and tool outputs within Computer Network Defense (CND) systems and/or software tools to enhance, implement, and maintain the Security Management/Monitoring services and capabilities within the Agency IT Enterprise.
• Document all processes and code; provide comprehensive reports on the completed tasks.

• 14 years of experience as a software engineer
• Bachelor's degree in a technical discipline

• 4 additional years of experience as a software engineer may be substituted for a degree

• Python
• Docker and/or Kubernetes

Desired Experience:

• AWS
• Machine learning

Salary: $220,000 - $230,000 annually

Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents - available day 1, 8% 401(k) employer match - immediate vesting.

Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure.

Shield Consulting Solutions is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. This is a full time position