LLM Deployment Engineer

applications with a focus on scalability and reliability. Responsibilities include integrating AI solutions into platforms through APIs using FastAPI, containerizing applications with Docker, and deploying them on Google Cloud Platform (Google Cloud Platform). Experience with distributed systems, including message queuing and task processing frameworks like RabbitMQ and Celery, is important for managing large-scale workloads. Candidates should have strong Python programming skills with AI/ML libraries such as Scikit-learn, PyTorch, and Transformers, along with the ability to communicate analytical insights effectively to both technical and non-technical stakeholders while working independently in fast-paced, global environments.