Systems Engineer—AI/ML

WOOD Consulting ServicesLinthicum, MD
6hOnsite

About The Position

Join WOOD’s mission engineering team supporting a complex systems‑of‑systems environment. You’ll design and deliver NLP/ML solutions and robust data pipelines that extract, process, and visualize insights from defense artifacts (e.g., PDFs, CONOPS, DoDAF documents), helping decision‑makers move faster and smarter. We are seeking candidates at all levels.

Requirements

  • U.S. Citizens
  • Active TS/SCI Security Clearance with a Polygraph.
  • Systems Engineer Level 1 Bachelor’s degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required and seven (7) years as a SE in program and contracts of similar scope, type, and complexity is required.
  • Systems Engineer Level 2 Bachelor’s degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required and fourteen (14) years as a SE in program and contracts of similar scope, type, and complexity is required.
  • Systems Engineer Level 3 Bachelor’s degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required and twenty (20) years as a SE in program and contracts of similar scope, type, and complexity is required.
  • Note: Five (5) years of additional SE experience may be substituted for a bachelor's degree.
  • Programming & ML: Proficiency in Python and/or R ; hands‑on with TensorFlow or PyTorch .
  • Data extraction: Experience using Apache Tika and PDFMiner for unstructured/semi‑structured sources.
  • Systems engineering: Background in requirements analysis, architecture/design, interface definition, and verification methods in a complex SoS context.
  • Visualization & analysis: Strength in qualitative/quantitative analytics and communicating results through dashboards/visuals.

Responsibilities

  • Engineer solutions across systems‑of‑systems, collaborating with government and technical stakeholders to translate CONOPS and high‑level architectures into actionable requirements and designs.
  • Build document parsing and data processing pipelines for unstructured/semi‑structured sources using tools such as Apache Tika and PDFMiner.
  • Develop and evaluate NLP/ML models (TensorFlow or PyTorch) in Python/R, delivering qualitative and quantitative analytics with clear data visualizations.
  • Create and maintain technical documentation (architecture/design docs, interface controls), and support integration & test planning.
  • Communicate findings and trade‑offs to program personnel, government overseers, and senior executives.

Benefits

  • Health Insurance: Comprehensive medical, dental, and vision plans.
  • Retirement Plan: 401(k) with company match.
  • Paid Time Off: Generous PTO policy including vacation, sick leave, and holidays.
  • Professional Development: Opportunities for training, certifications, and career advancement.
  • Work-Life Balance: Flexible work schedules and remote work options.
  • Wellness Programs: Employee assistance programs, wellness initiatives, and gym membership discounts.
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