Node.Digital
Intelligent Automation/AI-ML Engineer
Herndon, Virginia · Full-time · Posted Oct 28, 2026
- Experience
- 3+ yrs & 5 yrs (as stated); no further explanation of the alternatives is provided.
- Education
- Bachelor's degree in Computer Science, Data Science, Engineering or a related field (or equivalent experience).
- Visa sponsorship
- U.S. citizenship is required to meet the project’s eligibility and security clearance requirements.
About the job
Designs, deploys, and operates intelligent automation solutions using open-source AI/ML models and MCP, including document processing, data cleansing, and model lifecycle management.
What you'll do
- Build reusable AI/ML automation solutions, MCP integrations, and agentic or human-in-the-loop workflows.
- Maintain production solutions, troubleshoot issues, and manage MLOps, model retraining, monitoring, and governance.
- Manage token use and model performance, and identify opportunities to embed AI/ML into workflows.
What they ask for
- Bachelor's degree in a related field or equivalent experience.
- Experience in AI/ML engineering, intelligent automation, or software engineering, including production deployments; posting states “3+ yrs & 5 yrs.”
- Strong Python skills and experience with ML/LLM frameworks; hands-on experience deploying and fine-tuning open-source LLMs.
- Experience with MCP or comparable integration frameworks, document processing and data cleansing, MLOps, token optimization, and RAG.
Nice to have
- Experience with RPA or workflow platforms, cloud services, orchestration, or observability tools.
- Knowledge of model evaluation, guardrails, responsible AI, relevant certifications, or Agile/DevOps.
Tools
Python, PyTorch, Hugging Face Transformers, LangChain/LlamaIndex, MCP, Docker/Kubernetes, MLflow, DVC
AI focus
Build and operate AI/ML automation using open-source models and MCP; develop document-processing, data-cleansing, agentic, and human-in-the-loop workflows; manage fine-tuning, retraining, MLOps, token optimization, and responsible AI.
Model-written summary · the original posting is authoritative