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Metro role with popular AI Engineer title and mid-level experience but specialized LLM/CV skills limit applicant pool.
Core ML/LLM/CV skills are transferable, but healthcare imaging and DICOM experience increases domain specificity.
Explicit experience plus mandatory LLM, CV, API, Docker, and DB skills make filters strict.
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Design, develop, and deploy production-grade AI systems focusing on Generative AI/LLMs, OCR-based document/data extraction, and Computer Vision.
Build and optimize OCR pipelines and Computer Vision models (classification, object detection, segmentation) and maintain RESTful APIs for AI/ML services.
Containerize applications using Docker, manage data storage with MongoDB and SQL, and integrate LLM APIs and vector databases for semantic search and RAG workflows.
Minimum 2+ years of experience in AI/ML engineering.
Proficiency in Python with hands-on experience in Generative AI/LLMs, OCR technologies, and Computer Vision frameworks (PyTorch, TensorFlow, OpenCV).
Experience building APIs with FastAPI and containerizing applications using Docker.
Onsite location: Bengaluru, India.
Experienced in full-stack AI engineering from model development to deployment and integration with backend systems.
Comfortable working with GenAI/LLMs, OCR, and Computer Vision in production environments with expertise in prompt engineering, fine-tuning, and semantic search.
Able to collaborate effectively with cross-functional teams and maintain production-ready AI systems with clean, maintainable code.