Join a leading med‑tech firm to build AI products that reshape clinical workflows and enable intelligent automation. You’ll work with Generative AI, computer vision, and large language models to deliver scalable solutions.
What You’ll Do
- Design and launch AI applications using Generative AI, LLMs, and computer vision.
- Build scalable backend services, APIs, and workflow orchestration for AI solutions.
- Create Retrieval‑Augmented Generation pipelines and intelligent assistants for automation.
- Develop OCR and image‑analysis models for document digitization and extraction.
- Train, optimize, and deploy ML/DL models with MLOps best practices.
- Deploy cloud‑native AI workloads on Azure and manage CI/CD pipelines.
What You Need
- 3+ years of software engineering experience; BS/MS in CS, AI, ML or related field.
- Proficient in Python and deep‑learning frameworks such as PyTorch or TensorFlow.
- Experience building APIs, backend services, and distributed applications.
- Hands‑on knowledge of computer vision techniques, including OCR, classification, and detection.
- Familiarity with LLMs, prompt engineering, RAG, and agentic AI concepts.
- Working knowledge of cloud platforms (Azure, AWS, or GCP) and container orchestration (Docker, Kubernetes).
Good to Have
- Expertise with Azure AI Services, Azure OpenAI, or Azure Machine Learning.
- Experience using LangChain, LangGraph, or Semantic Kernel for GenAI pipelines.
The Opportunity
The team leverages Azure AI Services to build production‑grade GenAI and OCR solutions for the healthcare sector, navigating strict regulatory standards.