The successful candidate will:

Advance and improve development practices with the engineering team through participation in architecture, technical design and code reviews

Work with the user community to anticipate services and platform needs required to support algorithm development, model training, model management, data engineering and model serving

Develop and/or implement services to enable data scientists and ML engineers at Nike. These services will include model training, model serving and model management

Evaluate new AI/ML Frameworks for possible long-term approaches

Develop proof-of-concept (PoC) projects designed to evaluate the feasibility of new data science projects, vendor supplied machine learning and/or AI platforms

Facilitate deep technical discussions with end-users and partners

Basic Qualifications

Strong Computer Science fundamentals

4+ years of non-internship professional software development experience

Programming experience with at least one modern language such as Java, Python, Golang including object oriented design

Experience with Kubernetes and the broader container ecosystem

Experience with container-native machine learning ecosystem such as Kubeflow

Experience with AWS services (EC2, S3, DynamoBD, EMR)

Experience using open source machine learning and statistical frameworks such as TensorFlow, PyTorch, R etc.

Knowledgeable about machine learning (concepts and application)

Excellent written and oral communication skills on both technical and non-technical topics

Additional Qualifications

Experience with Big Data technologies (e. g. Spark)

Experience with Databricks ecosystem

Experience with SageMaker ecosystem

Experience with workflow orchestration systems such as Airflow
Experience with Infrastructure as Code practices and technologies like

Job Types: Full-time, Contract

Pay: $70.00 - $80.00 per hour

Schedule:

  • 8 hour shift

Education:

  • Bachelor's (Preferred)

Experience:

  • Machine Learning: 1 year (Preferred)
  • Python: 1 year (Preferred)

Contract Length:

  • 1 year

Work Location:

  • Fully Remote

Relocation Assistance Provided:

  • No

COVID-19 Precaution(s):

  • Remote interview process

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