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Machine Learning Architect 129 views

This is a post on behalf of the AIPlus hiring partner.

Apply with Job ID # 100036

As a Machine Learning Architect, you’ll design and deliver innovative Machine Learning solutions on Amazon
Web Services, Azure, and Google Cloud using core cloud data science tools and other big data-related
technologies. This includes helping craft projects in their initial phases and delivering them with a team.

Responsibilities

  • Provide Machine Learning through leadership and vision internally and to clients. Build a sense of data science community and encourage a culture of collaboration and curiosity. 
  • Implement models and algorithms on multiple cloud providers
  • Write in Python, R, or other languages to deliver a wide variety of Machine Learning & Data Science solutions
  • Evaluate and operate new tools, packages, and Machine Learning techniques
  • Collaborate with Solution Owners to apply companies’ agile process and be responsible to lead the initiation, delivery, and transition of projects for your team in a client-facing role 
  • Explains model results to technical and non-technical audiences including leading highly technical presentations. 
  • Partner with local markets and other Build teams
  • Lead and mentor engineers and machine learning practitioners. Leads smaller projects (3 to 5 people) as the technical lead from project initiation to delivery 
  • Share project findings with the wider Machine Learning group
  • Build and maintain relationships with customers
  • Will be delivery-focused approximately 85-95% of the time
  • Willingness to travel up to 50%, at peak times

Qualifications

  • 5+ years of experience implementing models or machine learning algorithms in production
  • Experience on any of these cloud platforms (AWS, Azure, GCP)
  • Experience developing models and other data science work – Python (preferred) or R 
  • Recognized as an authority on a technical topic (e.g. Recommendation Systems) with a generalist familiarity of several AI/ML techniques
  • Ability to lead exploratory data analysis within new subject matters or new data structures
  • Familiarity with Agile project delivery 
  • Excellent verbal and written communication skills
  • Proficiency with both Linux and Windows
  • (Optional) Experience leading a data science or other technical team
  • (Optional) Familiarity with QA processes
  • (Optional) Quantitative graduate degree
  • (Optional) One or more of the following other languages: Java, C#, R, JavaScript, Go, Spark

They are hiring for their offices in North America Locations: Seattle, Toronto, Denver, Boston, Houston, Chicago, Charlotte, Atlanta, Vancouver, New York, Dallas, Silicon Valley, Los Angeles

 

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