What are the responsibilities and job description for the Senior Machine Learning Engineer with Security Clearance position at Iron EagleX, Inc?
Overview Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology, delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments. Responsibilities Job Description : Iron EagleX is seeking a highly skilled Senior Machine Learning Engineer to join our dynamic team in Crystal City, VA. The ideal candidate will specialize in AI-driven automation, prompt engineering, and machine learning model optimization to deliver innovative solutions to real-world challenges. This role requires expertise in large language models (LLMs), AI agent workflows, and the development of efficient AI solutions. The position is primarily on-site, with potential for hybrid work based on project needs. Job Duties Include (but not limited to) :
- Develop, optimize, and implement AI workflows with a strong focus on prompt engineering and automation.
- Design and fine-tune machine learning models to enhance performance and effectiveness.
- Research and apply best practices for large language model (LLM) utilization, including prompt orchestration and fine-tuning techniques.
- Develop and integrate AI agents into data workflows, leveraging state-of-the-art frameworks.
- Apply advanced prompt engineering techniques such as few-shot learning, chain-of-thought reasoning, self-consistency, and retrieval-augmented generation.
- Utilize frameworks like LangChain and DSPy to design, test, and optimize prompts.
- Address token limitations, cost trade-offs, and model-specific constraints across various LLMs (ChatGPT, Claude, Llama, Mistral, etc.).
- Implement model fine-tuning methods, including soft prompting, adapters, and supervised fine-tuning.
- Develop AI-driven automation workflows using agent-based architectures and frameworks such as LangGraph and OpenAI function calling.
- Write, test, and maintain Python code for AI model development and integration.
- Utilize version control systems (Git) to manage code changes and collaboration Qualifications Required Skills & Experience :
- Minimum of 5 years of experience in machine learning, AI model development, or related fields.
- Proficiency in prompt engineering and LLM optimization techniques.
- Hands-on experience with frameworks such as LangChain, DSPy, and LangGraph.
- Strong understanding of AI workflow automation and agent-based architectures.
- Solid Python programming skills and experience with version control (Git).
- Familiarity with Agile development methodologies.
- Due to US Government Contract Requirements, only US Citizens are eligible for this role. Desired Skills and Experience :
- Master's, Ph.D, or coursework / certifications in a related field
- Familiarity with reinforcement learning and other advanced ML techniques.
- Experience deploying AI models in production environments. Education & Certifications :
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience). Advanced degrees are a plus. Security Clearance :
- An active TS / SCI security clearance is REQUIRED. Candidates without this clearance will not be considered. Benefits :
- National Health, vision and dental plans
- 20 days of PTO and 11 paid holidays
- Life Insurance
- Short - and long-term disability plans
- 401(K) retirement plans
- Incentive and recognition programs
- Relocation opportunities
