TI
Senior AIMLOps Engineer/ AMAT_Bangalore, ITPL
Tranzeal Inc.
🇮🇳 India
On-site
Senior
7 months ago
- Azure Databricks
- AKS
- Kubernetes
- MLflow
- GitHub Actions
- Python
- Helm
- GitOps
- Machine Learning
- Azure
- CI/CD
- AI
- Databricks
- Azure OpenAI
- OpenAI
- Hugging Face
- RAG
- AI/ML
- FAISS
- Pinecone
- Chroma
7 months ago
Experience Required: 5–8 years
Tech Stack: Azure | Databricks | AKS | ARO | Kubernetes | MLflow | GitHub Actions | Python | Helm | GitOps | Vector Stores | GenAI Frameworks
Role Summary
We are seeking a senior Ops Engineer to support GenAI, LLM, and ML workloads, with a strong focus on deployment automation, observability, scalability, and platform reliability across Azure and Kubernetes environments.
Key Responsibilities
• Build and maintain CI/CD/CT pipelines for ML models, LLMs, and GenAI workloads
• Deploy and operationalize:
o ML models and custom LLMs
o AI agents and GenAI services using Databricks, MLflow, AKS / ARO
• Integrate and scale GenAI ecosystems including:
o Azure OpenAI / OpenAI
o HuggingFace models
o RAG pipelines and vector databases
• Support development and deployment of custom models and out of the box AI agents
• Manage Databricks:
o Workspaces
o Clusters
o Model registry
o Job orchestration
• Own AKS / ARO lifecycle, including networking, scaling, Helm based deployments, and GitOps workflows
• Implement robust observability for AI/ML/LLM systems (latency, drift, reliability, performance)
• Ensure cloud security, governance, access controls, and cost efficiency
Required Skills
• Strong hands on experience with Azure, AKS/Kubernetes, Databricks, MLflow
• Experience with LLMOps, RAG pipelines, and vector stores (FAISS, Pinecone, Chroma, etc.)
• Proficiency in Python and automation scripting
• Strong understanding of AI/ML system operations and platform reliability
Senior AIMLOps Engineer/ AMAT_Bangalore, ITPL · Tranzeal Inc.