Azure AI Senior Engineer - S

Tata Consultancy Services Limited; India; Presencial; INR 450.000 - 750.000; Jornada completa

Descripción de la vacante

Tata Consultancy Services is seeking an experienced AI/ML professional to design, develop, and deploy advanced AI solutions on the Azure cloud. You will work on Generative AI apps, RAG architectures, and end-to-end ML pipelines, ensuring governance and cost optimization.

The role emphasizes hands-on model fine-tuning, prompt engineering, and integration with enterprise platforms, with mentoring responsibilities forjunior engineers.

Formación

• Experience designing and building AI/ML solutions on Azure stack.
• Hands-on experience with LLMs, prompts, and RAG architectures.

Responsabilidades

• 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.

Conocimientos

Machine Learning

Deep Learning

NLP

Generative AI

Computer Vision

Recommendation Systems

LLMs

Prompt Engineering

RAG Architecture

Fine-Tuning Models

AI Agents

Vector Search

Python

SQL

REST APIs

Herramientas

Azure OpenAI Service

Azure AI Studio

Azure ML

Azure AI Search

Azure Cognitive Services

Azure Bot Service

Azure Document Intelligence

Azure Speech Services

Azure Language Services

PyTorch

TensorFlow

Scikit-learn

Hugging Face Transformers

LangChain

LlamaIndex

Semantic Kernel

Docker

Kubernetes

Descripción del empleo

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
  • Recommendation Systems
• Experience with:
  • Large Language Models (LLMs)
  • Prompt Engineering
  • RAG Architecture
  • Fine-Tuning Models
  • AI Agents / Agentic AI
  • 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
  • Azure Language Services

Programming Skills

• Strong proficiency in:
  • Python
  • SQL
  • REST APIs
• Experience with:
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Hugging Face Transformers
  • LangChain
  • LlamaIndex
  • 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
  • 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)
  • Docker & Kubernetes