AI Engineer
Summary
Design, fine-tune, and deploy LLM/ML models for NLP, OCR, and AIOps on GCP with Kubernetes, ensuring compliance, performance, and safety.
- Build and fine tune LLM and ML models for NLP document classification vision OCR and AIOps
- Build cloud workloads on GCP with Vertex AI and GKE and classification based routing
- Deploy AI models on Kubernetes with GPU partitioning and RBAC
- Ensure model compliance with data sovereignty and AI ethics guidelines
- Implement model versioning CI CD and monitoring for latency tokens GPU utilization and drift
- Optimize inference with quantization batching and context sizing
- Own model serving stack with vLLM or TGI
- Run pre deployment evaluation for accuracy regression and safety