IT Technical/Architect Manager – Data & AI

7 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

F2F interviews only preferred


Job Title: IT Technical/Architect Manager – Data & AI

Work Location: Hyderabad

Work Type - Fulltime

Exp level : 7-12 years with relevant of 5+ years

Budget Range : 10-15LPA


Job details


Experience & Background

  • 8 years

    of hands-on experience in data engineering, AI/ML development, or technical leadership
  • Proven track record of

    designing and deploying AI/ML solutions

    in enterprise environments
  • Experience working with

    open analytics platforms

    such as Databricks, Snowflake, Apache Spark, or Microsoft Fabric


Technical Proficiency

  • Strong command of

    AI/ML frameworks

    : TensorFlow, PyTorch, Scikit-learn etc
  • Proficiency in

    Python

    ,

    SQL

    , and scripting for automation
  • Experience with

    cloud platforms

    : Azure, AWS, GCP (multi-cloud familiarity preferred)
  • Knowledge of

    data lake architecture

    ,

    ETL/ELT pipelines

    , and

    real-time analytics

  • Familiarity with

    MLOps

    , CI/CD pipelines, Docker, Kubernetes
  • Understanding of

    data governance tools

    like Microsoft Purview or Unity Catalog


Leadership & Collaboration

  • Demonstrated ability to

    lead technical teams

    , mentor junior engineers, and manage cross-functional collaboration
  • Experience aligning

    data strategy

    with business goals and stakeholder expectations
  • Strong communication skills to translate technical concepts into business value


Global Exposure & Compliance

  • Experience working with international clients or teams, especially in

    USA/UAE markets

  • Awareness of

    regional compliance standards

    , data privacy regulations, and procurement processes


Strategic & Innovative Mindset

  • Passion for

    AI-driven transformation

    and data-centric innovation
  • Ability to evaluate emerging technologies and integrate them into enterprise architecture
  • Comfortable navigating

    hybrid and multi-cloud environments


Certifications & Education

  • Preferred certifications: AI/ML, Cloud Architecture (Azure/AWS/GCP), Data Engineering
  • Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field

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