AI R&D Consultant

Role Overview

The AI R&D Consultant will lead advanced research and development initiatives in Artificial Intelligence, focusing on cutting-edge technologies and their applications across multiple industries. This role involves designing and testing innovative AI algorithms, developing Proof of Concepts (PoCs), and applying AI to address complex, large-scale challenges at both organizational and national levels. The consultant will collaborate with cross-functional teams to translate AI research into scalable solutions that drive strategic impact.

Key Responsibilities

• Conduct advanced research on emerging AI technologies and trends to identify new opportunities.
• Design, develop, and test AI algorithms across domains such as Machine Learning, Deep Learning, NLP, and Computer Vision.
• Build, deploy, and continuously improve AI Proof of Concepts (PoCs) and pilot projects.
• Apply AI techniques to solve nation-scale and industry-specific challenges.
• Explore and implement solutions in specialized areas: Generative AI, Agentic AI, RPA, OSINT, GEOINT, and other advanced AI fields.
• Collaborate with internal and external stakeholders to define AI strategies and technology roadmaps.
• Publish research findings, whitepapers, and technical documentation for knowledge sharing and innovation leadership.
• Provide expert consultation to guide business units and clients on adopting AI-driven solutions.
• Stay updated with cutting-edge AI tools, platforms, and frameworks, and evaluate their integration into ongoing projects.
• Mentor junior AI engineers and data scientists in R&D best practices and methodologies
  
  

Requirements

• Bachelor's degree in Computer Science, Software Engineering, AI, or related field (Master's/PhD preferred).
• Minimum of 10 years' experience in AI research and development.
• Proven expertise in:
  
  

Preferred:

• Machine Learning (ML) & Deep Learning (DL)
• Natural Language Processing (NLP)
• Computer Vision
• Robotic Process Automation (RPA)
• Generative AI & Agentic AI
• OSINT (Open Source Intelligence) & GEOINT (Geospatial Intelligence)
• Strong record of developing and deploying AI-driven applications and PoCs.
• Solid programming skills (Python, TensorFlow, PyTorch, etc.) and experience with cloud platforms (AWS, Azure, GCP).
• Exceptional problem-solving skills with the ability to address complex, large-scale AI challenges.
• Strong communication and leadership abilities, capable of driving innovation across teams.
• Experience in government, defense, or national-scale AI projects.
• Published research or contributions in AI journals/conferences.
• Advanced certifications in AI/ML, Cloud, or related technologies.