AI/ML Solution Engineer at CTIS, Inc.
Rockville, MD
$140,000–$180,000from the description
Jul 1, 2026
Rockville, MD
Jul 21, 2026
What this job asks for AI summary
This role centers on designing, building, and continuously improving AI and machine learning solutions across business functions. The engineer works with cross-functional teams to identify where AI/ML can be applied, integrates those solutions into existing systems, and provides technical guidance to internal stakeholders. It suits someone with substantial hands-on ML development experience, fluency in relevant programming languages and frameworks, and familiarity with cloud platforms and DevOps practices.
Senior level · 5+ years · National · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
No work location or metro area is specified in the posting; CBSA left blank. Remote status is also unspecified — marked on-site by default.
The role sits between Data Scientist (15-2051) and Software Developer (15-1252): it emphasizes ML/deep learning/statistical modeling but also stresses designing and implementing scalable solutions and leading cross-functional teams. 15-2051 was chosen as the primary code given the explicit ML/deep learning/statistical modeling focus.
Degree requirement: the JD lists 'Bachelor's or Master's degree' as a qualification with no 'or equivalent experience' escape — Bachelor's is treated as the minimum hard requirement.
Cloud platform experience (Azure/AWS) is listed in the Qualifications section with firm language ('Experience with one or more cloud platforms'); Azure is named as the primary with AWS as an alternative. GCP added as a well-known substitute.
Git and DevOps practices are listed in the Qualifications section. 'Modern DevOps practices' is a methodology phrase with no specific tool named beyond Git, so only Git is emitted as a named skill; CI/CD is included as a preferred signal of that broader DevOps context.
Python, R, and Java are presented as interchangeable options ('Python, R, Java, or similar languages') — emitted as one skill with alternatives.
TensorFlow and PyTorch are presented as interchangeable examples ('e.g., TensorFlow, PyTorch') within a required qualifications statement — emitted as one skill with PyTorch as the alternative.
Read the full posting
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