ML Engineer

Job Title : Senior Machine Learning Engineer – Generative AI Specialist Location : Hyderabad Experience : 5–7 Years (Minimum 2 Years in Generative AI) Compensation : ₹12–18 LPA Job Type : Full-Time, Permanent About Us We’re an innovation-driven AI company solving complex business challenges using the power of Generative AI . Our clients span healthcare, telecom, BFSI, and government sectors – and we’re scaling fast. We’re looking for a hands-on, go-getter ML Engineer who’s been in the trenches building and deploying production-grade LLM applications. Role Summary As a Senior ML Engineer (Generative AI) , you'll lead the development of end-to-end AI solutions, with a strong emphasis on LLM fine-tuning, vector retrieval (RAG), multimodal AI, and private deployments . This is not a research-only role — we want someone who ships code, owns systems, and delivers measurable impact. Key Responsibilities Design and deploy LLM-powered applications (chatbots, summarizers, content generators, etc.) using OpenAI, LLaMA, Mixtral, Claude, or proprietary models Fine-tune foundation models using PEFT, LoRA, QLoRA , and domain-specific datasets Build RAG pipelines using LangChain, LlamaIndex , or custom frameworks Integrate vector databases (FAISS, Pinecone, Qdrant) for semantic search and context retrieval Develop prompt orchestration flows, agents, and tools using frameworks like Autogen, Haystack, or Semantic Kernel Work with unstructured data (PDFs, emails, voice, images) and convert it into usable AI-ready formats Collaborate with product and engineering teams to build scalable GenAI-powered apps Own deployment via APIs, containers, and MLOps workflows (Hugging Face Hub, Azure/AWS/GCP) Must-Have Skills 5–7 years in ML/AI with at least 2+ years hands-on Gen AI (not just R&D) Deep knowledge of NLP, Transformer architectures , and fine-tuning LLMs Strong command of Python, PyTorch/TensorFlow , and LLM libraries (Transformers, SentenceTransformers, LangChain, etc.) Experience in RAG design patterns and private LLM deployments Worked with Whisper, Stable Diffusion, Gemini, or other multimodal models Clear track record of building and deploying Gen AI apps to production Bonus Skills Experience building Gen AI SaaS platforms or tooling Knowledge of RLHF , prompt engineering, instruction tuning Understanding of data governance and compliance in Gen AI applications Familiarity with embedding optimization , latency reduction, quantization strategies Job Type: Full-time Pay: ₹1,200,000.00 - ₹1,800,000.00 per year Benefits: Health insurance Life insurance Provident Fund Schedule: Day shift Work Location: In person