AI/ML Engineer

Experience required 2.5 to 3 years Proven experience in AI & ML, particularly with Azure AI services and pre-trained Generative AI (GenAI) models. Expertise in Azure ML Studio for building, deploying, and managing AI/ML models at scale. Strong skills in prompt engineering to optimize the performance of large language models (LLMs) such as OpenAI’s models. Proficiency in Python and API development using FastAPI or Flask, with experience in scalable AI service deployment. Hands-on experience with Azure Document Intelligence or similar tools for document processing. Familiarity with cloud-based AI deployment, including Azure services for scaling, monitoring, and managing applications. Experience with containerization (Docker) and orchestration (Kubernetes) for managing AI solutions in production. Strong problem-solving skills with a focus on optimizing AI models and services for performance and efficiency. Excellent communication and collaboration skills, able to work with cross-functional teams and stakeholders Job Type: Full-time Schedule: Day shift Work Location: In person