Nike Remote Job Near Me, Nike Work From Home Remote Jobs No Experience

Nike Remote Job Near Me, Nike Work From Home Remote Jobs No Experience

Job Details:-

Hiring Organization:- Nike

Employment Type:- Full Time

Work Hours:– 8 Hours

Locations:- USA

Jobs Description:

Who are we searching for

We are effectively trying to recruit various AI Architects to join our man-made intelligence/ML group. As an AI Specialist inside the computer based intelligence/ML group, you will be creating progressed examination frameworks that straightforwardly influence our business. You will deal with a cross-disciplinary group (information/Programming interface/infra/infosec/ML) to empower information driven dynamic across different associations.

Working at the crossing point of AI and programming (i.e., MLOps), you’ll make excellent arrangements that power Nike. You will work with other people who are empowered by the test of developing things starting from the earliest stage, out of the crate, and applying the most recent advances in measurable, solo, directed, and AI models at worldwide scale.

Our groups partake in a cooperative and scholastic climate that advances growing new abilities, mentorship, and a drive to convey information and programming back to examination and designing networks, inside and Nike and without. This culture is developed by scholarly interest, tomfoolery, receptiveness, and variety.

Sound like you?

Who will you work with

Computer based intelligence/ML is one of the vital gatherings inside Information and Investigation. We’re contracted to scale AI and simulated intelligence at Nike. For region of the business right on time in their examination process, we implant cross-disciplinary groups of information researchers and designers to open new abilities and answer strange (or unasked!) questions.

In mature regions with previous information science groups, we assist with scaling AI by joining designing crews to develop their ability to convey for the business. What’s more, we team up intimately with stage and design accomplices to foster capacities that improve on AI at scale inside Nike (e.g., model administration, A/B testing, include stores).

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Fundamental Work Capabilities:

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  • Act as an essential individual from a cross-practical designing groups that conveys arrangements opening AI for Nike. You will dissect and profile information to uncover experiences on the side of versatile arrangements, clean, get ready and check the trustworthiness of information for investigation and model creation. You’ll likewise follow model exactness, execution, significance, and dependability. You will apply an assortment of AI and cooperative sifting techniques to informational indexes. You will help with building APIs and programming libraries that help reception of models underway
  • Influence your related knowledge, information on industry patterns, and individual imagination to foster new and creative arrangements which enchant our clients in their main goal to serve Athletes*.
  • Remain current with industry drifts and suggest pertinent advances and items in the space of Examination, AI, Man-made brainpower, and Information Science devices and other arising innovations. Given the quick speed of progress in innovation and AI today, forever be pushing the limit of what’s conceivable and be on the offense generally.
  • Embrace and epitomize Nike’s fundamental beliefs (adages) in your work and cooperations with friends and partners. Impart really, building trust serious areas of strength for and across the organization, make the best decision.

What you bring to Nike

  • Four year college education in a pertinent field, similar to software engineering or computer programming, or comparable experience.
  • Comprehension of AI, its applications, and the lifecycle of a ML application underway; including a capacity to verbalize the job of MLOps in model improvement from trial and error to creation and estimation
  • A capacity to genuinely convey, composed, orally, and outwardly specialized points with peers and eloquent the advantages and tradeoffs of different arrangements
  • Experience working in as well as teaming up with a halfway or completely conveyed group
  • Comprehension of information designs, calculations, and information arrangements
  • Experience in applying Python (or one more language generally utilized in the field of ML, like Scala, Julia, C++) and SQL to ML and additionally programming and information designing errands
  • Experience with ETL, ML, or investigation advances, for example, Scikit-learn, Pandas, OpenCV, NumPy, TensorFlow, or comparable stages and structures
  • Familiarity with information science stages (like Databricks or SageMaker), dispersed motors (like Flash and AWS cloud), and CI/Album pipelines and containerization are liked
  • Familiarity with the use of open-source advancements and the capability of normalized stages in the space of Information Science, computer based intelligence, and ML.
  • Good to have: an interest in the capability of Generative computer based intelligence to speed up normal turn of events and information science assignments, or the sending of Generative computer based intelligence arrangements in the undertaking

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