Azure AI Engineer

Wipro; Hyderabad, Chennai District, Bengaluru; Hybride; INR 1 500 000 - 2 500 000; Plein temps

Résumé du poste

Wipro in Hyderabad seeks an Azure AI Engineer to design, build, and deploy enterprise-scale AI solutions using Azure OpenAI, AI Studio, and RAG. You will translate business needs into production-ready applications and ensure secure, scalable deployments.

The ideal candidate has 4+ years of hands-on experience with Azure AI services, NLP, Computer Vision, and ML workflows, plus strong debugging, collaboration, and stakeholder management skills.

Qualifications

• 4+ years of hands-on experience in Azure AI and Machine Learning.
• Experience building enterprise-grade AI applications with Azure services.
• Strong knowledge of LLMs, RAG, NLP, CV, and Speech AI implementations.

Responsabilités

• Design and develop AI-powered applications using Microsoft Azure AI Services.
• Build and deploy Generative AI solutions with Azure OpenAI Service.
• Develop RAG apps using Azure AI Studio and Prompt Flow.
• Create document processing solutions using Azure AI Document Intelligence.
• Develop conversational AI with Azure AI Language Services.
• Implement QA, Text Classification, and Conversational Language Understanding.
• Design, train, deploy, and monitor ML models with Azure ML.
• Manage Azure ML Workspaces, datasets, experiments, notebooks, and lifecycle.
• Build ML pipelines and perform data prep and feature engineering.
• Monitor apps with Azure Monitor, Insights, and Log Analytics; ensure secure deployments.

Connaissances

Generative AI

NLP

Computer Vision

Speech AI

Prompt Engineering

Knowledge Mining

Question Answering

Formation

Bachelor's Degree in CS/AI/IT

Outils

Azure OpenAI Service

Azure AI Studio

Prompt Flow

Azure ML

REST APIs

Git

Jupyter Notebooks

Azure Monitor

Description du poste

About the Role

We are seeking a highly skilled Azure AI Engineer with strong expertise in Generative AI, Azure AI Services, and Azure Machine Learning to build, deploy, and support enterprise-scale AI solutions. The ideal candidate will have hands-on experience with Azure OpenAI, Azure AI Studio, Retrieval-Augmented Generation (RAG), Azure Machine Learning, NLP, Computer Vision, and Speech AI.

This role involves designing production-ready AI applications, optimizing machine learning workflows, and providing support for AI-powered enterprise solutions across various business domains.

Key Responsibilities

AI Solution Development

Design and develop AI-powered applications using Microsoft Azure AI Services.

Build and deploy Generative AI solutions using Azure OpenAI Service.

Develop Retrieval-Augmented Generation (RAG) applications using Azure AI Studio and Prompt Flow.

Create intelligent document processing solutions using Azure AI Document Intelligence.

Develop conversational AI applications with Azure AI Language Services.

Implement Question Answering, Text Classification, and Conversational Language Understanding solutions.

Machine Learning & MLOps

Design, train, deploy, and monitor machine learning models using Azure Machine Learning.

Manage Azure ML Workspaces, datasets, experiments, notebooks, and model lifecycle.

Build and optimize ML pipelines for scalable model deployment.

Perform data preparation, feature engineering, and model optimization.

AI Operations & Support

Monitor AI applications using Azure Monitor, Application Insights, and Log Analytics.

Troubleshoot production issues and perform root cause analysis.

Ensure secure, scalable, and reliable AI deployments in enterprise environments.

Collaborate with cross-functional teams to deliver innovative AI solutions.

Required Skills

Azure AI Services

• Azure OpenAI Service
• Azure AI Studio
• Prompt Flow
• Retrieval-Augmented Generation (RAG)
• Azure AI Language
• Azure AI Speech
• Azure AI Document Intelligence
• Azure AI Vision / Computer Vision
• Azure AI Search

Azure Machine Learning

• Azure ML Workspace Management
• Model Training & Deployment
• Model Versioning & Lifecycle Management
• Experiment Tracking & Notebooks
• ML Pipelines
• Data Preparation & Feature Engineering
• Model Optimization

AI & Machine Learning

• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Natural Language Processing (NLP)
• Computer Vision
• Speech AI
• Conversational AI
• Knowledge Mining
• Question Answering
• Text Classification

Programming & Development

• Python
• REST APIs
• JSON
• Git
• Azure DevOps
• Jupyter Notebooks

Monitoring & Operations

• Azure Monitor
• Application Insights
• Log Analytics
• Production Support & Troubleshooting

Preferred Qualifications

Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related discipline.

Microsoft Azure Certifications (Preferred)

• AI-900: Azure AI Fundamentals
• AI-102: Azure AI Engineer Associate
• DP-100: Azure Data Scientist Associate
• AZ-204: Azure Developer Associate
• AZ-305: Azure Solutions Architect Expert

Ideal Candidate Profile

4+ years of experience in Azure AI and Machine Learning.

Hands-on experience building enterprise-grade AI applications.

Strong expertise in Azure OpenAI, Azure AI Studio, RAG, and LLM-based solutions.

Experience working in production support and customer-facing environments.

Strong analytical, troubleshooting, and problem-solving skills.

Excellent communication and stakeholder management abilities.

Knowledge of Responsible AI, model governance, and AI security best practices.

Self-driven professional capable of working independently in a fast-paced environment.