AI Research Engineer

Job Title: AI Research Engineer – Private LLM & Cognitive Systems Location: Delhi Type: Full-Time Experience Level: Senior / Expert Start Date: Immediate About Brainwave Science: Brainwave Science is a leader in cognitive technologies, specializing in solutions for the security and intelligence sectors. Our flagship product, iCognative™ , leverages real-time cognitive response analysis using Artificial Intelligence and Machine Learning techniques to redefine the future of investigations, defense, and national security. We are seeking an experienced AI Research Engineer to join our team and contribute to the development of cutting-edge cognitive systems. Key Responsibilities: • Design, develop, and deploy AI-powered solutions for various applications, including private LLM & Cognitive Systems. • Collaborate with cross-functional teams to integrate AI models into existing systems and products. • Conduct research and analysis on AI-related topics, such as machine learning, deep learning, and natural language processing. • Develop and maintain relationships with key stakeholders, including customers, partners, and internal teams. • Stay up-to-date with the latest advancements in AI, ML, and cognitive technologies to identify opportunities for innovation and improvement. Requirements: • Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • 5+ years of experience in AI research and development, preferably in the security and intelligence sectors. • Strong programming skills in languages such as Python, Java, C++, or MATLAB. • Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. • Familiarity with cloud-based platforms like AWS, Google Cloud, or Azure. • Excellent communication and collaboration skills. Benefits: • Competitive salary and benefits package. • Opportunity to work on cutting-edge AI projects that can make a real impact. • Collaborative and dynamic work environment. • Professional development opportunities through training and mentorship. • Flexible working hours and remote work options.