Position : AI/ML Engineer (Azure AI, Gen AI)

Overall/Total Experience : 3 - 7 years only

Location : Bengaluru

Working Days : 5 Days from office

Notice Period Requirement : 30 Days (Maximum)

Client's Company Size : Startup / Small Enterprise

Roles &

Responsibilities :

- Azure AI Deployment : Deploy and configure Azure AI Services, Azure OpenAI, Azure AI Search, and Azure AI Foundry solutions.
- AI Migration : Migrate AI workloads, models, and AI applications from on-premises or other cloud platforms to Azure AI Services.
- AI Solution Implementation : Design and implement Generative AI, Conversational AI, Speech AI, Vision AI, and Document Intelligence solutions.
- Integration &
- Automation : Integrate Azure AI Services with enterprise applications, APIs, databases, Microsoft 365, and Power Platform.
- Operations &
- Optimization : Monitor AI workloads, optimize performance, manage governance, security, and cost efficiency of Azure AI environments.

Candidate Requirements :

- Solid Azure AI Engineer (Microsoft Azure AI / Azure OpenAI / Generative AI) Profiles.
- Must have 3 years of overall experience in Cloud, Artificial Intelligence, Machine Learning, Generative AI, Applied AI Engineering, or Azure AI implementation roles.




- 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.
- 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.
- Must have strong hands-on expertise in Python, REST APIs, Azure SDKs, and AI development frameworks such as LangChain, Semantic Kernel, or equivalent frameworks.
- Must have experience integrating Azure AI solutions with enterprise applications, APIs, databases, Microsoft 365, Power Platform, or other cloud-native services.
- 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.
- Must have experience in AI workload migration, cloud migration, API integrations, Identity &
- Access Management (IAM), Security &
- Compliance, or enterprise AI deployments.
- Must have working knowledge of MLOps, CI/CD pipelines, GitHub, Azure DevOps, and production deployment of AI solutions.

📌 AI/ML Engineer - Azure AI Deployment (India)
🏢 Laksh Consultants
📍 India