Job Description :

Key Responsibilities :

- Design, develop, and implement AI/ML solutions using Microsoft Azure services.

- Build and deploy Generative AI applications leveraging Azure OpenAI Service and Azure AI Studio.

- Design and implement Retrieval-Augmented Generation (RAG) architectures for enterprise AI solutions.

- Fine-tune, evaluate, and optimize Large Language Models (LLMs) for business use cases.

- Develop intelligent applications including chatbots, virtual assistants, knowledge management systems, and AI-powered automation platforms.

- Build end-to-end machine learning pipelines for model training, deployment, monitoring, and lifecycle management.

- Implement MLOps best practices using Azure DevOps, GitHub Actions, and Azure Machine Learning.

- Develop REST APIs and microservices to expose AI capabilities across enterprise applications.

- Integrate AI solutions with Azure cloud-native services and business platforms.

- Monitor AI model performance, accuracy, scalability, and cost optimization.

- Ensure compliance with security, data privacy, responsible AI, and governance standards.

- Mentor junior engineers and provide technical leadership on AI initiatives.

- Work closely with stakeholders to translate business requirements into technical AI solutions.

Required Skills & Qualifications :

AI & Machine Learning :

- Strong understanding of Machine Learning, Deep Learning, Natural Language Processing (NLP), Generative AI, Computer Vision, and Recommendation Systems.

- Experience with Large Language Models (LLMs), Prompt Engineering, RAG Architecture, Fine-Tuning Models, AI Agents / Agentic AI, and Vector Search Solutions.

Azure AI Services :

- Hands-on experience with Azure OpenAI Service, Azure AI Studio, Azure Machine Learning, Azure AI Search, Azure Cognitive Services, Azure Bot Service, Azure Document Intelligence, Azure Speech Services, and Azure Language Services.

Programming Skills :

- Strong proficiency in Python, SQL, and REST APIs.

- Experience with PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers, LangChain, LlamaIndex, and Semantic Kernel.

Cloud & Platform Services :

- Expertise in Azure Functions, Azure Kubernetes Service (AKS), Azure App Services, Azure Container Apps, Azure API Management, Azure Storage Accounts, Azure Data Lake, Azure Key Vault, Azure Event Hub, and Azure Service Bus.

MLOps & DevOps :

- Experience with Azure DevOps, GitHub Actions, CI/CD Pipelines, ML Model Deployment Automation, Model Monitoring & Observability, Infrastructure as Code (Terraform/Bicep), and Docker & Kubernetes.