AI / ML Engineer - Azure ML Studio

We are seeking an experienced AI / ML Engineer with 59 years of hands-on experience in building, deploying, and scaling AI / ML models on the Azure cloud ecosystem. The ideal candidate will have strong expertise in Azure Machine Learning, Databricks, Apache Spark, and deep experience in LLMs, RAG architectures, vector databases, and AI agent systems.

You will play a key role in architecting end-to-end AI solutions, integrating ML workflows with data engineering pipelines, and ensuring robust MLOps practices across enterprise environments.

Key Responsibilities :

1. ML Architecture, Model Development & Deployment :

• Architect, develop, and deploy scalable ML solutions using Azure ML Studio, Azure Machine Learning Services, and managed compute clusters.
• Create reusable ML pipelines for training, evaluation, and inference with emphasis on scalability, versioning, and reproducibility.
• Optimize models for performance, latency, and cost using Azure infrastructure and ML engineering best practices.

2. RAG Pipelines & LLM System Development :

3. Data Engineering & Azure Integration :

4. MLOps, CI / CD & Governance :

5. AI Integration & Multi-Agent Communication :

6. Monitoring, Optimization & Cloud Reliability :

Required Skills & Qualifications :

Preferred (Nice-to-Have) :

(ref : hirist.tech)