Azure AI/ML Engineer @ Tata Consultancy

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Azure AI/ML Engineer

Tata Consultancy
8 - 10 years
Hyderabad
21 hours ago
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Job Description

Job description

Role- Azure Ai / ML Engineer

Exp- 8-10 Years

Location- PAN INDIA

Key Responsibilities

Azure AI / Retrieval-augmented generation (RAG)

NLP, semantic search, Prompt Flow, embeddings strategy, hybrid search, grounding
Model evaluation, prompt engineering, fine-tuning

Familiarity with Azure OpenAI / OpenAI API
AKS / App Hosting
Azure Document Intelligence - Model selection, table extraction fidelity
Databricks/ML Flow - Experiment tracking, lineage, analytics endpoints
Front-End (Angular) Search facets, trend analysis, performance tuning
Python Doc parsing, Q&A extraction, telemetry, secure access
Version control (Git), CI/CD for ML (MLflow, DVC)

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Tata Consultancy
Location(s): Hyderabad

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Keyskills: Azure Ai Machine Learning Artificial Intelligence Al Ml

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Designation / Expected Role

Current / Recent Company (*)

Experience (*)

Expected Salary (*)

Desired Industry (*):

Functional area / Department (*):

Enter Skills (key skills, subjects, technologies & roles to use in search)

Write briefly about yourself, your experience and education (*)

Attach ResumeMax 2.38 MB (RTF, PDF, DOC, DOCX formats only parsed)

Please, check the file size and type.

Add social media [ + ]

Create password

I agree with website service terms and conditions

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Tata Consultancy

Wipro Ltd (NYSE:WIT) is a global information technology, consulting and outsourcing company with 170,000+ workforce serving clients in 175+ cities across 6 continents. \r\n\r\nWipro helps customers do business better by leveraging our industry-wide experience, deep technology expertise, comprehensiv...

Azure AI/ML Engineer @ Tata Consultancy

Home > Data Science & Machine Learning