About the Role:We are looking for an AI/ML Engineer with 4+ years of strong hands-on experience building and deploying production-grade AI systems. The ideal candidate should have strong expertise in Computer Vision, Generative AI, RAG pipelines, Voice AI, and LLM-powered applications, with experience delivering scalable, production-ready solutions across enterprise, healthcare, or SaaS environments.Key Responsibilities:- Design, develop, and deploy production-ready AI/ML and Generative AI applications, Computer Vision solutions.- Build and optimize LLM-powered applications for real-world business use cases.- Develop and maintain RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models.- Build Voice AI solutions including speech-to-text (STT), text-to-speech (TTS), conversational AI, and voice-enabled assistants.- Create and optimize prompt engineering strategies to improve LLM output quality, consistency, and reliability.- Work with open-source LLMs for inference, fine-tuning, evaluation, and deployment.- Implement model monitoring, evaluation, guardrails, and performance optimization.- Collaborate with DevOps and cloud teams for scalable deployments.- Optimize AI systems for latency, cost, scalability,



and production performance.- Integrate AI services through APIs and enterprise applications.Required Skills & Experience:- 4+ years of experience in AI/ML engineering and production deployments.- Strong experience in Python and AI/ML development.- Hands-on experience with Generative AI and LLM applications.- Robust hands-on experience in Computer Vision using Python and frameworks such as OpenCV, PyTorch, and TensorFlow.- Experience with Computer Vision tasks such as object detection, image classification, image segmentation, and feature extraction.- Familiarity with models and libraries such as YOLO, Detectron2, MMDetection, and torchvision.- Experience with image preprocessing, data augmentation, model training, evaluation, and inference optimization.- Exposure to OCR technologies such as Tesseract or EasyOCR and vision-based deep learning models is an advantage.RAG & LLM Pipeline Skills:- Vector Databases: Pinecone, Weaviate, FAISS, ChromaDB, Milvus.- Prompt Engineering techniques for LLM optimization.- Open Source LLMs: Llama, Mistral, Falcon, Gemma, DeepSeek, Qwen.Voice AI & Frameworks:- Speech-to-Text: Whisper, Deepgram, Google STT.- Text-to-Speech: ElevenLabs, Azure Speech, Amazon Polly.- Frameworks: LangChain, LangGraph, LlamaIndex, Hugging Face.Deployment & Infrastructure:- Docker, Kubernetes, CI/CD.- AWS / Azure / GCP.Preferred Qualifications:- Experience delivering AI solutions for Healthcare, Enterprise, or SaaS platforms.- Exposure to MLOps practices and model lifecycle management.- Understanding of AI governance, security, and responsible AI practices.Education Qualifications:- B.Tech / M.Tech in CSE / IT / AI&ML; only from good college. (ref:hirist.tech)

📌 Quanteon Solutions - Senior AI/ML Engineer - Generative AI/Computer Vision (Hyderabad)
🏢 QUANTEON SOLUTIONS
📍 Hyderabad