About the Role
We are looking for a passionate 3+ years of AI/ML Engineer with strong fundamentals in Machine Learning and hands-on experience in Voice AI, Open Source LLM's, Prompt Engineering and Generative AI. The ideal candidate should be capable of building intelligent systems, working with LLMs, and translating business problems into scalable AI solutions.
Key Responsibilities
- Design, develop, and deploy ML models
- Perform data preprocessing, feature engineering, and model optimization
- Build and integrate LLM-based applications (GPT, Claude, Gemini, etc.)
- Implement Zero-shot, Few-shot, and RAG pipelines
- Work with embeddings and vector databases (FAISS, Pinecone)
- Develop APIs using FastAPI/Flask and deploy on AWS/GCP/Azure
- Containerization using Docker and follow CI/CD practices
- Hands-on experience in Voice AI solutions
- Experience with Speech-to-Text (STT) and Text-to-Speech (TTS)
- Building voice bots, conversational AI, or IVR systems
- Integrating Voice AI with LLMs
Technical Skills
- Strong Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch)
- Hugging Face APIs, Lang Chain or Llama Index, Prompt Engineering, Gen AI, RAG, LLM's, Vector DB, Open Source LLM's
- Understanding of tokens, temperature, and LLM behaviour
Education Qualifications
- B.Tech / M.Tech in CSE / IT / AI&ML / Data Science
