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    AIML Data Engineer - Pune, India - HTD Resources

    HTD Resources
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    Description

    No. of Position: 5

    Payroll: SA Tech

    Client: NessTechnologies

    Position: AIML DataEngineer

    Exp: 69 Years

    JobLocation: Kharadi Pune Hybrid (3 Days WFO)

    Budget: 55.00 LPA

    NP: 45 Days

    Mandatory Skills: AIML Data Engineer Python withAWS/Azure.

    Interview Process:

    1st Round Internal TechnicalRound

    2nd Round ClientTechnical Round

    JobDescription:

    We are seeking a talented AIML DataEngineer to join our team. The ideal candidate will have a strongbackground in data engineering machine learning and softwaredevelopment with a passion for leveraging data to drive insightsand create innovative solutions.

    Requirements:

    • Strongprogramming skills in languages such as Python Java orScala.
    • Proficiency in data engineeringtechnologies such as Apache Spark Hadoop Kafka etc.
    • Experience with machine learning frameworks such asTensorFlow PyTorch or scikitlearn.
    • Familiaritywith cloud platforms such as AWS Azure or Google CloudPlatform.
    • Solid understanding of softwareengineering principles and best practices.
    • Excellent problemsolving and analyticalskills.
    • Strong communication and collaborationskills with the ability to work effectively in a teamenvironment.

    Responsibilities:

    • Designdevelop and maintain scalable data pipelines and infrastructure tosupport machine learning models and applications.
    • Collaborate with data scientists and software engineersto understand requirements and implement solutions that meetbusiness objectives.
    • Clean preprocess andtransform raw data into a format suitable for analysis andmodeling.
    • Implement and optimize algorithmsand models for machine learning and predictiveanalytics.
    • Deploy machine learning models intoproduction environments and monitor their performance.
    • Work closely with crossfunctional teams to integratemachine learning capabilities into existing products andsystems.
    • Stay uptodate with the latest trendsand advancements in machine learning and data engineering and applythem to improve our processes and solutions.

    Name of theCandidate

    Total Exp.(Yrs)

    Rel. Exp.(Yrs)

    ContactNo.

    Email ID

    Current Company

    Current CTC

    ExpectedCTC

    Official NP (Negotiable) Mention reason ifimmediate

    Current Location

    Preferred Location

    How many Pipeline done onSynapse and in current project or how long back

    Readyto work in Hybrid Mode


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