nMachine Learning Engineer

• Active U.S. Government Security Clearance at the TS/SCI level with CI polygraph. \n
• Minimum 3 years of experience with a Bachelor's degree \n
• Proficiency in Python and SQL \n
• Familiarity with Javascript, Containerization (Docker/ Rocky Linux) \n
• Familiarity with developing & managing API endpoints (Rest and FastAPI) \n
• Experience with developing agenticAI workflows/systems, * Familiarity with Multi-agent orchestration \n
• Familiarity with Cybersecurity (Mandiant) \n
• AWS Cloud experience \n
• Experience with Graph Analysis \n
• Security Plus\n

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented \nMachine Learning Engineer to join our team in \nChantilly, VA.\n \n \nResponsibilities include but are not limited to:\n \n \n

• Build and deploy AI agents to both automate and optimize labor intensive workflows, as well as empowering the human workforce to discover entirely new capabilities. \n
• Support program with R&D and customer-facing goals, to speed the transition of novel applied research and solutions development into impact on contract. \n
• Create software to support AI agent communication, connecting models and agents to external services via API calls, testing and debugging tasks, deploying into target environments, setting up monitoring, and ensuring reliable execution of agentic AI systems. \n
• Utilize a combination of open-source models, agentic tools, and large proprietary commercial models. \n
• Develop novel approaches to securing agentic workflows and to evaluating the results for accuracy, performance, and impact. \n
• Ensure AI systems adhere to ethical guidelines, transparency, and fairness principles. \n
• Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search.\n, * The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.\n

\n \nAbout Elder Research, Inc - \nPeople Centered. Data Driven\n \n Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.\n \n