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    Centific - Digital Technology Expert - Data Science/Artificial Intelligence - Hyderabad, India - Centific Global Technologies

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    permanent Technology / Internet
    Description
    Excellent Opportunity @ Centific - COE/DAC/Data Science/AI/ML


    Role Description :


    The Digital Technology Expert is a senior-level role responsible for driving digital transformation, innovation, and technological excellence within the organization.

    This individual will lead and execute strategic initiatives related to enterprise software product R&D, Data Sciences, AI/ML, DevOps, Cloud Computing, QA Automation, and Big Data Tools.

    They will play a key role in shaping the enterprise architecture and design while ensuring alignment with business objectives.


    Skill Set :

    • Extensive experience in enterprise software product R&D
    • Profound knowledge of Data Sciences, AI/ML technologies, and their practical applications
    • Expertise in DevOps practices and tools
    • Indepth understanding of cloud platforms (e.g., AWS, Azure, GCP)
    • Handson experience in QA automation and engineering best practices
    • Proficiency in multiple programming languages including Java, .NET, and Python
    • Strong familiarity with Big Data tools and technologies
    • Expertise in Data Fabric, Data & Analytics, and datadriven decisionmaking
    • Experience with hyperscaler platforms and services
    • Enterprise architecture and design expertise
    • Outstanding problemsolving and analytical skills
    • Exceptional leadership and collaboration abilities
    • Excellent communication and presentation skills

    Responsibilities :

    Technology Strategy:

    • Develop and execute technology strategies aligned with organizational goals, focusing on digital transformation and innovation.

    R&D Leadership:

    • Lead research and development efforts in enterprise software products, exploring new technologies and solutions to drive innovation.

    AI/ML Integration:

    • Identify and implement AI/ML solutions to enhance business processes, customer experiences, and decision-making.

    DevOps Excellence:

    • Drive the adoption of DevOps practices and automation to optimize software development and delivery pipelines.

    Cloud Adoption:

    • Lead the organization's cloud adoption efforts, ensuring scalability, security, and cost-efficiency.

    QA Automation:

    • Oversee and enhance QA automation efforts to maintain high software quality standards and efficient testing processes.

    Engineering Best Practices:

    • Promote engineering best practices, code quality, and architectural excellence within technology teams.

    Programming Expertise:

    • Provide hands-on technical expertise in programming languages such as Java, .NET, and Python as needed.

    Big Data Mastery:

    • Manage and leverage Big Data tools and technologies for data processing, analysis, and insights generation.

    Data & Analytics:

    • Collaborate with data teams to build data-driven solutions and advanced analytics capabilities.

    Enterprise Architecture & Design:

    • Lead efforts to define and evolve enterprise architecture, ensuring it supports business objectives and aligns with technology trends.

    Hyper-Scaler Management:

    • Manage and optimize hyper-scaler platform usage and services, ensuring efficiency and (Preferred) :
    • AWS Certified Solutions Architect Professional
    • Microsoft Certified: Azure Solutions Architect Expert
    • Certified Kubernetes Administrator (CKA)
    • Certified Information Systems Security Professional (CISSP)
    • Google Cloud Professional Cloud Architect
    • Certified Data Professional (CDP)
    • TOGAF (The Open Group Architecture Framework) Certification
    )


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