Senior Research And Development Manager

Senior R&D Lead AI/ML Engineer

Key Responsibilities

• Lead end-to-end design, development, and integration of

  AI/ML models

  to enhance simulation realism, trainee behavior understanding, and adaptive training responses.
• Develop

  Reinforcement Learning (RL)

  solutions for intelligent opponents, scenario adaptation, and real-time policy optimization.
• Architect and deploy

  Deep Neural Network

  models using

  transformers, attention mechanisms, and multi-modal architectures

  (vision + language + decision).
• Implement and optimize

  Large Language Models (LLMs)

  within relevant training and decision-support modules.
• Ensure

  real-time performance, safety, and reliability

  of AI modules, especially under contested or adversarial simulation environments.
• Uphold

  AI ethics, safety, and compliance

  with defense standards and autonomous systems regulations.
• Design and maintain

  evaluation and scoring models

  to assess trainee progress based on behavioral, accuracy, and situational performance metrics.
• Work closely with cross-functional hardware, software, simulation, and defense domain teams for seamless AI system integration.
  
• Continuously assess emerging AI advancements and convert research outputs into

  production-grade solutions

  .
• Lead and mentor a team of AI engineers, fostering an environment of innovation and technical excellence.
  
• Oversee the

  data pipeline strategy

  – collection, annotation, preprocessing, and validation workflows.
• Collaborate with Defense stakeholders, SMEs, and internal leadership to align technological development with operational requirements.
  

Required Qualifications

• Master’s or PhD in

  Computer Science, Artificial Intelligence, Machine Learning

  , or related fields.

• 8+ years of hands-on experience in AI/ML

  , with strong expertise in

  Deep Learning, Reinforcement Learning, and Multi-Modal architectures

  .
• Strong command of

  Neural Network architectures

  , including

  Transformers and attention-based models

  , and practical deployment experience with

  LLMs

  .
• Proven experience implementing

  Reinforcement Learning algorithms

  , particularly in environments requiring

  real-time decisions and evaluative feedback loops

  .
• Proficiency in

  Python

  ,

  OpenCV

  , and frameworks such as

  PyTorch

  ,

  TensorFlow

  ,

  Stable Baselines3

  ,

  Ray RL

  , and

  OpenAI Gym/Gymnasium

  .
• Experience in

  defense / military / aerospace / high-reliability simulation systems

  is highly desirable.
• Demonstrated leadership ability in managing

  cross-functional engineering teams

  and delivering

  large-scale AI systems

  to production.
• Strong analytical mindset with the ability to evaluate, benchmark, and optimize competing AI methodologies.
  

Preferred Attributes

• Exposure to embedded ML in real-time training platforms.
  
• Experience with tactical behavior modeling, sensor fusion, or agent-based simulation.
  
• Publications, patents, or conference contributions in AI/ML.
  

Why Join Us?

• Build real-world impactful AI systems used by national defense forces.
  
• Work on cutting-edge simulation technology and next-gen autonomous training systems.
  
• Opportunity to lead innovation and influence strategic R&D directions.