06 Sep
|
KPMG India
|
Bengaluru
06 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