Machine Learning Engineer
Listed on 2026-06-08
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist -
Engineering
Machine Learning Engineer (Annapolis Junction, MD)
Active TS/SCI w/Polygraph REQUIRED Please do not apply if you do not currently possess this level of clearance.
Telework:
None
- Experience with standard machine learning frameworks, e.g. PyTorch, Tensor Flow.
- A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science, or deep learning from an accredited college or university.
- 5 years’ experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
- 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
- Select appropriate data sets.
- Perform statistical analysis.
- Run machine learning algorithms.
- Use results to improve models.
- Train and retrain systems when needed.
- Experience in working with various ML libraries and packages.
- Run standard test and evaluation protocols.
- Provide system integration oversight.
- Oversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements.
- Research and implement a broad range of AI and ML algorithms and tools.
- Design or select appropriate data and knowledge representation methods.
- Recognize software architecture, data modelling, and data structures.
- Transform and convert data science prototypes into scalable solutions.
- Verify data and model output quality.
- Identify differences in data distribution that affect model performance.
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.
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