03 Sep
|
KPMG India
|
Bengaluru
03 Sep
KPMG India
Bengaluru
Key Responsibilities
- Deploy and manage AI/ML and LLM applications in air-gapped/offline environments.
- Build and maintain MLOps/LLMOps pipelines, CI/CD workflows, and automation frameworks.
- Develop Python-based APIs, backend services, and deployment automation.
- Manage Kubernetes and containerized AI workloads.
- Deploy and optimize LLMs, RAG applications, vector databases, and inference services.
- Implement monitoring, observability, security, and DevSecOps best practices.
- Support end-to-end lifecycle from model packaging to production operations.
- Experience required - 6 years - 10 years
Required Skills
- Python, FastAPI/Flask
- Docker, Kubernetes, Helm
- MLOps / LLMOps / MLflow
- PyTorch, TensorFlow, Hugging Face
- CI/CD (GitLab, Jenkins, ArgoCD)
- RAG, Vector Databases (FAISS, Milvus, Qdrant, pgVector)
- Monitoring (Prometheus, Grafana, ELK)
- Security & DevSecOps practices
📌 AIML Engineer (Bengaluru)
🏢 KPMG India
📍 Bengaluru