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Azure AI-Stack @ Big 4

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 Azure AI-Stack

Job Description

Years of experience - 8years to 10years

Location - Bangalore, Hyderabad, Chennai, Pune & Kolkata

Work Mode- Hybrid

Notice period - immediate to 30days


Lead and technical execution, driving innovation and adoption of Gen Al technologies across the


Key Responsibilities


  • Al Innovation & Strategy
  • Facilitate ideation workshops and identify high-impact Al use cases.
  • Analyze trends and guide business leaders on Al-driven transformation.
  • Solution Design & Feasibility
  • Assess technical viability and risks of Al initiatives.
  • Define architecture, infrastructure, and resource needs.
  • Create business cases and implementation roadmaps.
  • Delivery Leadership
  • Lead cross-functional teams (Al Engineers, Data Scientists, MLOps).
  • Ensure quality, compliance, and performance of Al solutions.
  • Drive Gen Al optimization and infegration with enterprise systems.
  • Governance & Risk
  • Establish frameworks for Al ethics, transparency, and data privacy.

Required Skills & Experience


  • Experience

  • 8-10 years in Al solution development; 5+ years with Azure Al stack.
  • Proven leadership in Al delivery and stakeholder engagement.
  • Technical Expertise
  • NLP, LLMS (GPT, BERT), Gen Al systems, RAG pipelines.
  • Azure (OpenAl, Cognitive Services, ML), AWS (Lambda, SageMaker).
  • DevOps for ML (CI/CD, Docker, Kubernetes).
  • Semantic search, vector databases, prompt engineering.
  • Additional Skills
  • Cloud architecture, data pipelines (Spark, Hadoop).
  • Strong problem-solving and adaptability.
  • Soft Skills
  • Excellent communication and leadership.
  • Ability to translate complex Al concepts for business stakeholders.

Job Classification

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

Contact Details:

Company: Big 4
Location(s): Pune

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Keyskills:   Azure Stack Natural Language Processing Retrieval Augmented Generation Azure Machine Learning Azure Cognitive Services Generative Ai Hadoop Devops Data Science Aws Lambda Large Language Model Aws Sagemaker Spark

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