Verizon | Jobs | Engr II-AI ML Engineering | BigDataKB.com | 10-02-22

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    Job Location: Chennai

    When you join Verizon

    Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We’re a diverse network of people driven by our shared ambition to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.


    What you’ll be doing…

    BigDataKB.com Jyotish
    BigDataKB.com Jyotish - Career & Life Prediction

    As a Machine Learning Engineer (Engr II -AI/ML Engrg) , you will be responsible for

    • Optimizing and Deploying the Machine Learning Models.
    • Building the model artifact packages on dockerizing the model.
    • Working closely with Data scientists and other stakeholders to understand requirements and effectively prioritizing for solution and implementation.
    • Building high performing, scalable and reusable ML solutions.
    • Collaborating in the technical design and implementation of large scale data platforms, reusable data products and business ready data by utilizing modern and open source technologies, in a hybrid cloud environment.


    What we’re looking for…

    You’ll need to have:

    • This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.
    • Bachelor’s degree or one or more years of work experience.
    • One or more years of relevant work experience in the field.
    • Experience with Big Data on GCP – BigQuery, Dataproc,Pub/Sub, Dataflow.
    • Good knowledge on Machine Learning Model Development Life cycle
    • Hands on experience on Machine Learning model Development, Big data and python implementation in production environment.
    • Experience in Python, Pyspark, Hadoop, HiveShell, GCP, CICD.

    Even better if you have:

    • Experience in AutoML, Kubernetes, Docker, Unix, oozie.
    • Good working knowledge of basic software engineering, SDLC, SQL.
    • Excellent oral and written communication skills.

    Apply Here

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