Artificial Intelligence/Machine Learning Engineer - LLM Model

<p><p><b>Experience : </b>6+ years.<br/><br/><b>Location : </b>Pune/New Delhi.<br/><br/><b>Responsibilities :</b><br/><br/></p><p>- Design, build, and deploy AI/ML models for classification, prediction, recommendation, and optimization.<br/><br/></p><p>- Develop REST APIs for ML models using Flask/FastAPI with high-performance, secure design.<br/><br/></p><p>- Work with Generative AI (LLMs, diffusion models, transformers) and Agentic AI frameworks to build autonomous systems.<br/><br/></p><p>- Fine-tune and optimize LLMs for domain-specific use cases.<br/><br/></p><p>- Manage model versioning, monitoring, scaling, and integration with APIs, databases, and enterprise systems.<br/><br/></p><p>- Ensure model performance, scalability, and security.<br/><br/></p><p>- Research, prototype, and productionize advanced AI techniques.<br/><br/></p><p>- Collaborate with cross-functional teams to deliver scalable AI-driven solutions.<br/><br/><b>Required Skills & Experience :</b><br/><br/></p><p>- 46 years of hands-on AI/ML engineering experience.<br/><br/></p><p>- Strong Python skills (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).<br/><br/></p><p>- Expertise in Generative AI, Agentic AI frameworks (LangChain, LlamaIndex, AutoGPT, etc.), and vector databases (Pinecone, Weaviate, FAISS, Milvus).<br/><br/></p><p>- Solid knowledge of NLP, embeddings, and ML lifecycle.<br/><br/></p><p>- Experience in REST API development, Docker/Kubernetes, and cloud platforms (AWS/GCP/Azure).<br/><br/></p><p>- Proficiency in prompt engineering, RAG, and model fine-tuning.<br/><br/></p><p>- Strong problem-solving and optimization skills.</p><br/></p> (ref:hirist.tech)