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

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.

Required Education:

• 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

Required Qualifications:

• 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

Desired Qualifications:

• 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

Clearance:

• Must be a U.S. Citizen with an active TS/SCI clearance with Poly