G6 role

Exp=8+Years

CTC=60LPA (10% Variable pay)

Skills=strong experience in Azure, AI, and Architecture, along with overall leadership capabilities.

Location=based in Hyderabad, as the location is non-negotiable.

We need candidates with a combination of Data Science and DevOps experience who have worked on MLOps and LLMOps.

Core skills to look for: Azure Databricks, DAB (Databricks Asset Bundles), Unity Catalog, LLMOps, MLOps, Docker, Kubernetes, CI/CD, and Python.

Tier 1 — Core Match

Tier 2 — Solid Match

- Databricks Asset Bundles

- Databricks Unity Catalog

- Azure Kubernetes Service (AKS)

- Azure Cloud

- LLMOps / MLOps

- Docker

- Python

- CI/CD

- Kubernetes

- RAG

- FastAPI

- Helm

- Terraform

- Monitoring / Observability

- Vector Databases

- Prometheus / Grafana

- MLflow

- LangChain

- Azure OpenAI

Boolean Search String

("LLMOps" OR "MLOps")



AND ("Databricks Asset Bundles") AND ("Databricks Unity Catalog" OR "Unity Catalog") AND ("Azure Kubernetes Service" OR "AKS") AND (Python OR Docker OR "model deployment" OR "model serving")

Screening Questions

Use these in the first call:

- Have you deployed ML or LLM applications on AKS or another Kubernetes environment?
- Have you worked with Databricks Asset Bundles in a production or deployment workflow?
- What was your experience using Unity Catalog for governance, permissions, or model/data access?
- What tools have you used for LLMOps or MLOps, such as MLflow, Docker, CI/CD, or model serving?
- Have you worked on any RAG, LLM deployment, or model monitoring use cases in production?

📌 LLMOps Architect=Azure AI (Telangana)
🏢 Fractal
📍 Telangana