AI/ML Systems Engineer Technical Advisor (Mid-level)

SAIC•Chantilly, VA

About The Position

USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning algorithms is looking for a SETA with project level AI experience and expertise. Job Description: Evaluate advanced AI/ML concepts, systems, technologies, designs, architectures, interfaces into space and ground systems. Assist USG Program Office with analysis of alternatives to optimize technical, cost, and schedule performance considerations and improve knowledge and understanding of system, technology, and architecture tradeoffs. Develop briefings and reports including technical and programmatic assessments presenting analysis, results, conclusions, and recommendations. Provide acquisition advisory services during technical and cost evaluations of proposals Design, train, and test machine learning models and algorithms. Integrate AI models into existing software systems, ensuring scalability and efficiency. Preprocess, clean, and analyze large datasets for model training. Fine-tune models for maximum accuracy and performance. Work with cross-functional teams, including data scientists and stakeholders. Stay updated on the latest AI advancements and implementing new tools.

Requirements

Must have bachelor’s degree in science, technology, engineering, or math discipline with 2+ years of experience in applying AI to practical solutions.
Strong proficiency in Python, Java, or R.
Experience with TensorFlow, PyTorch, scikit-learn.
Deep learning, natural language processing (NLP), and data modeling.
Judgement, Critical thinking, problem-solving, and analytical skills
Interpersonal and communication skills for written reports, group discussion, and oral presentations
Must be a U.S. Citizen with an active TS/SCI clearance with Poly
Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience

Nice To Haves

Familiarity using tools include cloud platforms (AWS, GCP, Azure), database technologies (SQL, NoSQL), and version control systems (Git).
Knowledge, skills, abilities, and/or experience in one of more of the following:
Systems engineering and integration applied to spacecraft, ground, and launch systems
R&D of artificial intelligence/machine learning agents
Artificial Intelligence and/or Machine Learning technologies applied to space systems

Responsibilities

Evaluate advanced AI/ML concepts, systems, technologies, designs, architectures, interfaces into space and ground systems.
Assist USG Program Office with analysis of alternatives to optimize technical, cost, and schedule performance considerations and improve knowledge and understanding of system, technology, and architecture tradeoffs.
Develop briefings and reports including technical and programmatic assessments presenting analysis, results, conclusions, and recommendations.
Provide acquisition advisory services during technical and cost evaluations of proposals
Design, train, and test machine learning models and algorithms.
Integrate AI models into existing software systems, ensuring scalability and efficiency.
Preprocess, clean, and analyze large datasets for model training.
Fine-tune models for maximum accuracy and performance.
Work with cross-functional teams, including data scientists and stakeholders.
Stay updated on the latest AI advancements and implementing new tools.