AI Research Engineer

As an AI/ML Engineer specializing in Large Language Models (LLMs) and Deep Learning at Brainwave Science, you will be pivotal in the design, development, and deployment of intelligent AI systems. Your role will involve working on cutting-edge projects that span natural language processing, edge AI, and biosignal intelligence, impacting innovations in defence, security, and healthcare applications. You will be responsible for: - Designing, training, fine-tuning, and deploying Large Language Models using frameworks like PyTorch, TensorFlow, or Hugging Face Transformers - Integrating LLMS for local/edge deployment using tools like Ollama, LangChain, LM Studio, or llama.cpp - Building NLP applications for intelligent automation, investigative analytics, and biometric interpretation - Optimising models for low-latency, token efficiency, and on-device performance - Working on prompt engineering, embedding tuning, and vector search integration (FAISS, Qdrant, Weaviate) - Collaborating with technical and research teams to deliver scalable AI-driven features - Staying current with advancements in open-source and closed-source LLM ecosystems Key Responsibilities: - B.Tech/M.Tech in Computer Science (CSE), Electronics & Communication (ECE), or Electrical & Electronics (EEE) from IIT, NIT, or BITS - Minimum 3-4 years of hands-on experience in AI/ML, deep learning, and LLM development - Deep experience with Transformer models (e.g., GPT, LLaMA, Mistral, Falcon, Claude) - Hands-on experience with tools like LangChain, Hugging Face, Ollama, Docker, or Kubernetes - Proficiency in Python and strong knowledge of Linux environments - Strong understanding of NLP, attention mechanisms, and model fine-tuning Preferred Qualifications: - Experience with biosignals, especially EEG or time-series data - Experience deploying custom-trained LLMS on proprietary datasets - Familiarity with RAG pipelines and multi-modal models (e.g., CLIP, LLaVA) - Knowledge of cloud platforms (AWS, GCP, Azure) for scalable model training and serving - Published research, patents, or open-source contributions in AI/ML communities - Excellent communication, analytical, and problem-solving skills Brainwave Science is a leading provider of cognitive technologies, focusing on solutions for security, intelligence, and healthcare sectors. Their flagship product, iCognative, employs real-time cognitive response analysis with AI and ML techniques to redefine investigations, defence, counterterrorism, and healthcare applications. Join Brainwave Science to engage in groundbreaking AI projects in healthcare, security, and defence with competitive compensation, flexible working hours, and access to high-performance compute infrastructure. Apply now by sending your resume and a brief note about your experience to areddy@brainwavescience.com with the subject line: AI/ML Engineer LLM & Deep Learning Application [Your Name].,