Senior AI/ML Engineer LLM, VLM & Generative AI (India)

Job Title: Senior AI/ML Engineer LLM, VLM & Generative AI Location: Navi Mumbai - Ghansoli(Onsite) Final Interview: Face to Face Experience: 5+ Years Employment Type: Full-Time Job Summary We are looking for a Senior AI/ML Engineer to build and deploy next-generation AI solutions powered by Large Language Models (LLMs), Vision Language Models (VLMs), and Generative AI. The ideal candidate should have strong expertise in core AI/ML, deep learning, multimodal AI, and backend engineering, with experience taking AI models from research to production. Key Responsibilities - Design, develop, and deploy production-grade AI/ML solutions using Python and up-to-date deep learning frameworks. - Build RAG (Retrieval-Augmented Generation) pipelines, agentic AI workflows, and enterprise knowledge retrieval systems. - Develop Vision Language Model (VLM) applications for image understanding, OCR, document intelligence, and multimodal AI. - Fine-tune and optimize open-source LLMs using LoRA, PEFT, and prompt engineering techniques. - Design embedding pipelines, vector database integrations, semantic search, and retrieval systems. - Build scalable backend services and AI APIs using FastAPI/Flask. - Implement model monitoring, evaluation, hallucination detection, guardrails, and performance optimization. - Collaborate with product, engineering, and data teams to deliver reliable AI solutions for production environments. Required Skills - Strong Python programming skills with FastAPI or Flask. - 5+ years of experience in AI/ML, Deep Learning, and production ML systems. - Hands-on experience with PyTorch, TensorFlow, Scikit-learn, and model deployment. - Strong expertise in LLMs, RAG, Prompt Engineering, Embeddings, Vector Databases, and Semantic Search. - Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks. - Hands-on experience with Vision Language Models (VLMs) such as CLIP, BLIP, LLaVA, OCR, and multimodal AI. - Experience with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). - Knowledge of Kafka/RabbitMQ, asynchronous processing, and scalable AI architectures. Preferred Skills - Experience with LoRA, PEFT, Quantization, vLLM, Triton Inference Server, or distributed inference. - Knowledge of AI Agents, Multi-Agent Systems, LangGraph, CrewAI, or AutoGen. - Experience with MLflow, Weights & Biases, Airflow, and MLOps practices. - Familiarity with GPU optimization, model serving, and production AI infrastructure. Preferred Background - Experience building enterprise AI products from research to production. - Background in Computer Vision, NLP, Document AI, or Multimodal AI. - Experience working with scalable AI platforms in fintech, healthcare, enterprise SaaS, or regulated industries. Application Question(s): - Are you an immediate Joiner - Mention your last working day. - Available for final round Face to face - How many Years of experience in Vision Language Model - Total year of experience in AI/ML Location: - Navi Mumbai, Maharashtra (Preferred) Work Location: In person Job Title: Senior AI/ML Engineer LLM, VLM & Generative AI Location: Navi Mumbai - Ghansoli(Onsite) Final Interview: Face to Face Experience: 5+ Years Employment Type: Full-Time Job Summary We are looking for a Senior AI/ML Engineer to build and deploy next-generation AI solutions powered by Large Language Models (LLMs), Vision Language Models (VLMs), and Generative AI. The ideal candidate should have strong expertise in core AI/ML, deep learning, multimodal AI, and backend engineering, with experience taking AI models from research to production. Key Responsibilities - Design, develop, and deploy production-grade AI/ML solutions using Python and up-to-date deep learning frameworks. - Build RAG (Retrieval-Augmented Generation) pipelines, agentic AI workflows, and enterprise knowledge retrieval systems. - Develop Vision Language Model (VLM) applications for image understanding, OCR, document intelligence, and multimodal AI. - Fine-tune and optimize open-source LLMs using LoRA, PEFT, and prompt engineering techniques. - Design embedding pipelines, vector database integrations, semantic search, and retrieval systems. - Build scalable backend services and AI APIs using FastAPI/Flask. - Implement model monitoring, evaluation, hallucination detection, guardrails, and performance optimization. - Collaborate with product, engineering, and data teams to deliver reliable AI solutions for production environments. Required Skills - Strong Python programming skills with FastAPI or Flask. - 5+ years of experience in AI/ML, Deep Learning, and production ML systems. - Hands-on experience with PyTorch, TensorFlow, Scikit-learn, and model deployment. - Strong expertise in LLMs, RAG, Prompt Engineering, Embeddings, Vector Databases, and Semantic Search. - Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks. - Hands-on experience with Vision Language Models (VL