SAIC

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

SAIC • $90K — $130K *
Chantilly, VA 20152In-Person
Aerospace & Defense
Less than 5 years of experience
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in science, technology, engineering, or math with 2+ years of AI application experience.
  • Proficient in Python, Java, or R; experienced with TensorFlow, PyTorch, scikit-learn.
  • Strong judgment and critical thinking skills; excellent problem-solving abilities.
  • Effective written and verbal communication skills for reports and presentations.
  • Active TS/SCI clearance with Poly required.

Responsibilities

  • Evaluate advanced AI/ML technologies for space and ground systems.
  • Assist with technical, cost, and schedule performance analysis.
  • Develop technical briefings and programmatic reports with conclusions and recommendations.
  • Provide advisory services during technical and cost evaluations of proposals.
  • Design and train machine learning models for specific applications.
  • Integrate AI models into existing software ensuring efficiency and scalability.
  • Analyze large datasets and fine-tune models for optimal performance.

Benefits

  • Opportunities for continuous education and professional development.
  • Collaborative work environment with cross-functional teams.
  • Engagement with cutting-edge AI and ML technologies.
  • Potential for leadership growth within R&D projects.
Full Job Description
Job 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.

About SAIC

Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
Learn more about SAIC
Size
26,000 employees
Market Cap
$6 billion
Industry
Information Technology
Net Income
$206 million
Founded
1969
5 Year Trend
+10.7%
Revenue
$6.8 billion
NASDAQ
SAIC
* Ladders Estimates

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