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Beaverton

    Other Service Line - Beaverton, United States - Sedna Consulting Group

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    Description

    Job Description

    Job Description

    Job Description:
    Location: ONSITE in Hillsboro, OR. Please include your candidate's location and availability with each submission.

    Max Vendor Rate:
    Pending Confirmation from Cog (will update once rec.)

    Industry:
    Retail


    JOB TITLE:
    SAP ABAP & GENAI Consultant

    Job Description/ Responsibilities
    . We are seeking a highly experienced SAP AI Consultant to lead and execute complex AI integration projects for SAP systems. You will play a key role in designing, developing, and implementing innovative Gen AI solutions that drive business value.

    What are the top 3 skills required for this role?

    • 5+ years of experience in implementing AI/ML solutions for enterprise applications.
    • In-depth knowledge of SAP systems and functionalities, particularly relevant modules (e.g., S/4HANA, SuccessFactors).
    • Expertise in Python and other programming languages used for AI/ML.
    • Strong understanding of machine learning algorithms and deep learning concepts.
    Years of Experience 8+ with minimum 5+ years on required skills

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    1.

    Job title :
    TECHNOLOGY ARCHITECT 2.

    Job summary :

    We are seeking a Technology Architect with 8-10 years of experience, specializing in Automation and Machine Learning across platforms like Azure and Google Cloud.

    This role focuses on designing and implementing advanced automation and machine learning solutions to enhance our merchandising and item management systems, driving efficiency and innovation.

    3.


    Experience :
    8to10Yrs 4.

    Required Skills :
    ,SAP Automation,Cloud Machine Learning 5.

    Nice to have skills :
    ,Azure Machine Learning,Automation,Azure Automation 6.

    Technology :

    • Not Applicable 7.

    Shift :
    Day 8.

    Roles & Responsibilities :
    Lead the design and implementation of automation solutions across various platforms including Azure Automation and SAP Automation.

    - Develop and deploy machine learning models using Azure Machine Learning and Google Cloud Machine Learning to optimize merchandising processes.

    - Collaborate with cross-functional teams to understand business needs and integrate automation technologies accordingly. - Conduct research on emerging automation technologies and machine learning algorithms to stay ahead of industry trends. - Ensure the scalability and reliability of automation and machine learning solutions. - Provide technical guidance and support to team members in developing automation scripts and machine learning models. - Monitor and evaluate the effectiveness of automation and machine learning solutions, making adjustments as necessary. - Document all phases of the technology architecture process, from design to deployment. - Adhere to best practices in security and data protection when implementing automation and machine learning solutions. -Qualifications - Must have extensive experience in Automation, Azure Automation, SAP Automation, Azure Machine Learning, and Cloud Machine Learning. - Strong understanding of Google Cloud Machine Learning and its application in business processes. - Proven track record of designing and implementing effective automation and machine learning solutions. - Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment. - Good to have experience in Merchandising, Core Merchandising, and Item Management domains. - Effective communication skills and the ability to collaborate with both technical and non-technical team members. - A commitment to continuous learning and staying updated with the latest industry trends. 9.


    Job Location :

    Primary :
    USORBETC01 Beaverton - OR USA, CLT Alternate : , 10.

    Job Type : 50CW00 Business Associate 11.

    Demand Requires Travel? :
    N 12.Certification(s)

    Required :

    NA

    Additional Sills:
    Skills: Category Name Required Importance Experience Software Skills SAP Yes 9 6 + Years

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