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    Machine Learning Engineer - Any Location/Bangalore, India - Arting Digital

    Arting Digital
    Arting Digital Any Location/Bangalore, India

    1 week ago

    Default job background
    permanent Technology / Internet
    Description
    This is a remote position.

    Title :
    Machine Learning Engineer

    Experience : 8-12 yrs


    Work of Mode :
    Remote

    Shift Timing : 2 PM - 11 PM (UK Shift)


    Primary Skills :
    Python, SQL, Machine Learning Docker/Kubernetes


    Qualification :
    Any Engineering degree

    Good to Have :
    Java, Argo, Spark, AWS Cloud Services


    Roles & Responsibilities :

    • Lead the development of scalable and efficient machine learning platform products.
    • Develop technical specifications and architectures for new ML platform features and products.
    Collaborate with cross-functional teams across the globe to ensure product development aligns with business goals

    • Define and enforce engineering best practices to ensure highquality deliverables
    • Participate in the code review process to ensure our code quality standards are met
    • Stay uptodate with the latest ML platform technologies and trends to identify opportunities for product innovation
    • Participate in the hiring and onboarding process for new team members.
    • Communicate effectively with technical and nontechnical stakeholders to ensure alignment on project goals and timelines.

    Competencies Required :

    • Demonstrated excellence participating on cross functional teams in fastpaced environments, both in terms of technical leadership and handson coding.
    • Excellent ability to break down complex problems into simple solutions.
    • Willingness and ability to learn, evaluate, and make recommendations for leveraging new technologies.
    • Strong analytical skills and desire to write clean, correct and efficient code.
    • Sense of ownership, urgency and pride in your work.
    • Proven that you are a leader who prioritizes, communicates clearly, and partners effectively with both technical and nontechnical employees.
    • Excellent command of tools and expertise for troubleshooting production issues
    )
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