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Azure ML / AI Architect (Solution Engineering)
XTGlobal
Hyderabad, IND
Full-time
Senior · 8+ years experience
Hybrid
Discovered 3 weeks ago
Azure MLAzure AI Foundry/StudioAML SDK v2MLflowModel RegistryFeature Store
Free
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Azure MLAzure AI Foundry/StudioAML SDK v2
Key Skills for This Role
Azure MLAzure AI Foundry/StudioAML SDK v2MLflowModel RegistryFeature Store
Full Job Posting
Required Qualifications
- 7–10+ years in data/ML/AI engineering with 3+ years building production solutions on Azure ML and Azure AI Foundry/Studio .
- Proven delivery of ML/GenAI projects end-to-end: problem framing, data/feature engineering, modeling, evaluation, deployment, and monitoring.
- Hands-on with: AML SDK v2 & pipelines, MLflow/Model Registry, Feature Store, Managed Endpoints/AKS, Prompt Flow, GitHub Actions/Azure DevOps.
- Strong Python engineering (PyTorch/Transformers or scikit-learn/lightGBM), containerization (Docker), and API design (FastAPI).
- Data platforms: Fabric/Synapse/Databricks; storage (ADLS, Delta); messaging/streaming (Event Hub/Kafka) fundamentals.
- Security & networking on Azure: Key Vault, Private Link, VNet, Managed Identity, RBAC.
- Executive-level communication; ability to lead architecture reviews and mentor engineers.
Preferred / Nice to Have
Cross-cloud exposure: AWS SageMaker , Google Vertex AI , Oracle OCI Data Science / Generative AI ; portability patterns across providers.
Vector databases (Azure AI Search vector, Pinecone, Redis, pgvector), LlamaIndex/LangChain, evaluation frameworks (Ragas, Promptflow eval).
Databricks (Unity Catalog, Feature Store), Power BI/Fabric Real-Time Intelligence, or Snowflake/Mosaic AI familiarity.
IaC (Terraform/Bicep), Kubernetes (AKS), GPU workload tuning, Triton/ONNX, quantization/LoRA/SFT pipelines.
Certifications: Azure AI Engineer/Architect; AWS/GCP/Oracle equivalents.
How You’ll Measure Success
Production launches with measurable business impact (quality, latency, reliability, cost).
Reusable assets: reference architectures, accelerators, and well-documented repos customers adopt.
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