Intelligent Automation/AI-ML Engineer
Core
Architect and maintain intelligent automation solutions embedding AI/ML and open-source models to optimize operational efficiency and enable augmented decision-making.
Role type
Senior IC AI/ML Engineer (Intelligent Automation)
Builds
Intelligent automation solutions, bots for document processing and data cleansing, MCP servers/clients, and MLOps pipelines.
Domain
Federal Government / AI & Machine Learning / Intelligent Automation
Deliverable
production ML models
Required skills
Python, open-source LLMs, Model Context Protocol (MCP), document processing (OCR/NLP), MLOps, token management, RAG architectures, vector databases
Preferred skills
RPA platforms, cloud (AWS/Azure/GCP), orchestration tools (Airflow/Prefect), observability tools, responsible AI frameworks
Technologies
PyTorch, Hugging Face, LangChain, LlamaIndex, MLflow, DVC, Docker, Kubernetes, Prometheus, Grafana
Responsibilities
Architect and build intelligent automation solutions using open-source models and MCP; Develop MCP servers and clients for secure model integration; Implement MLOps pipelines for versioning, CI/CD, and model retraining; Optimize token usage, prompts, and model performance; Troubleshoot post-implementation issues like model drift and data quality problems; Monitor production solutions and define SLAs/SLOs.
Seniority
Senior, hands-on IC
