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

Description

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.

Qualifications

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.
• Prior small to mid-size team leadership experience.
• Prior technical project/program management experience.
• Ability to translate implied customer inputs to explicit project requirements, milestones, and deliverables.

Clearance:

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