AI/ML Engineer (Azure AI, Gen AI) / 3-10 years
Salary range ₹7 LPA to 12 LPA
Bengaluru Location / Full Time position

Must have skills:

1. AI/ML tools

2. Microsoft Azure AI

3. Gen AI

4. Azure OpenAI

5. Azure Foundary

6. Azure AI Services

7. Enterprise AI Integrations

Roles & Responsibilities

We are looking for an Azure AI Engineer to join our AI & Data team. The ideal candidate will be responsible for deploying, migrating, implementing, and optimizing Microsoft Azure AI Services and Generative AI solutions. The candidate should have hands-on experience with Azure AI Foundry, Azure OpenAI, Azure AI Services, and enterprise AI integrations across cloud environments.

Key Responsibilities

Azure AI Deployment

Intelligence solutions.

Integration & Automation

- Integrate Azure AI Services with enterprise applications, APIs, databases, Microsoft 365, an Power Platform. Operations & Optimization
- Monitor AI workloads, optimize performance, manage governance, security, and cost efficiency of Azure AI environments.

Ideal Candidate

· 1Strong Azure AI Engineer (Microsoft Azure AI / Azure OpenAI / Generative AI) Profiles

· 2Mandatory (Experience 1) – Must have 3+ years of overall experience in Cloud, Artificial Intelligence, Machine Learning, Generative AI, Applied AI Engineering, or Azure AI implementation roles.

· 3Mandatory (Experience 2) – Must have hands-on experience implementing Microsoft Azure AI Services, including Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure AI Services, Azure ML, AI Agent Service, Speech, Vision, or Document Intelligence.

· 4Mandatory (Experience 3) – Must have strong experience in designing and deploying Generative AI applications using LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, Agentic AI, and Vector Databases.





· 5Mandatory (Experience 4) – Must have solid hands-on expertise in Python, REST APIs, Azure SDKs, and AI development frameworks such as LangChain, Semantic Kernel, or equivalent frameworks.

· 6Mandatory (Experience 5) – Must have experience integrating Azure AI solutions with enterprise applications, APIs, databases, Microsoft 365, Power Platform, or other cloud-native services.

· 7Mandatory (Experience 6) – Must have hands-on experience with Azure cloud services such as App Services, Azure Functions, AKS (Azure Kubernetes Service), Container Apps, Storage, Key Vault, Azure Monitor, and Networking.

· 8Mandatory (Experience 7) – Must have experience in AI workload migration, cloud migration, API integrations, Identity & Access Management (IAM), Security & Compliance, or enterprise AI deployments.

· 9Mandatory (Experience 8) – Must have working knowledge of MLOps, CI/CD pipelines, GitHub, Azure DevOps, and production deployment of AI solutions.

· 10Preferred (Certification) – Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent Microsoft Azure AI certification.

· 11Preferred (Governance) – Experience with Responsible AI, AI Governance, Security, Monitoring, Cost Optimization, and AI Operations.

Interview Process

HR Screening Call
L1
L2
Offer discussion

Pay: ₹700,000.00 - ₹1,200,000.00 per year

Application Question(s):

- What is your present location:
- What is your notice period

Education:

- Bachelor's (Required)

Experience:

- AI/ML Engineer : 4 years (Required)
- 2. Microsoft Azure AI: 3 years (Required)
- Gen AI: 3 years (Required)
- Azure OpenAI : 3 years (Required)
- Azure Foundary : 3 years (Required)
- Azure AI Services : 3 years (Required)
- Enterprise AI Integrations: 3 years (Required)

Work Location: In person

📌 AI/ML Engineer (Azure AI, Gen AI) 3-10 years (India)
🏢 Hire3 Labs
📍 India