AI, Machine Learning Engineer

Job not on LinkedIn

🕒 January 30

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 49%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Cybermedia Technologies, LLC (CTEC)

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1996

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Cybermedia Technologies, LLC (CTEC) is a company dedicated to modernizing legacy IT infrastructure and securing mission-critical systems for federal agencies. With over 25 years of experience, CTEC specializes in IT modernization, cloud and cybersecurity services, as well as workforce training solutions that enhance technology adoption and efficiency within government operations. Their innovative approach focuses on delivering human-centered design to impact millions of federal workers and American citizens daily.

📋 Description

• Design and deploy autonomous AI agents capable of multi-step reasoning, tool-use, and self-correction to navigate complex federal benefit policies. • Develop "Guardrail" layers that synchronize probabilistic LLM outputs with rigid business rules, ensuring benefit determinations adhere strictly to legal and regulatory frameworks. • Implement advanced Retrieval-Augmented Generation (RAG) solutions, utilizing layout-aware parsing to extract information from dense manuals/documentation and unstructured data. • Design and evaluate machine learning models that support both data-driven predictions and symbolic/rule-based automation. • Deploy models into cloud environments with a focus on LLM-specific observability (tracing reasoning loops, monitoring for hallucinations, and detecting data drift in logic). • Ensure every AI-driven determination has a clear, human-readable "audit trail" or reasoning chain that justifies the outcome based on source documentation. • Work alongside solution architects and business stakeholders to translate complex health insurance policies into executable AI logic.

🎯 Requirements

• 5–8+ years in Machine Learning or Data Science, with at least 2 years of hands-on experience with LLM orchestration and Generative AI frameworks. • Proficiency with tools such as LangChain, LangGraph, CrewAI, or Semantic Kernel for building multi-step agent workflows. • Strong proficiency in Python and experience with standard frameworks (PyTorch, TensorFlow, or Scikit-learn) • Strong SQL skills and experience with distributed data processing (Spark/PySpark) to handle large-scale enterprise data. • Ability to debug non-deterministic systems and implement rigorous evaluation frameworks (e.g., RAGAS, LLM-as-a-judge) data platforms.

🏖️ Benefits

• Paid vacation & Sick leave • Health insurance coverage • Career training • Performance bonus programs • 401K contribution & Employer Match • 11 Federal Holidays