Machine Learning Engineer

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GlobalLogic, Inc.
Deep Learning, Regression, Classification, Clustering
Contract W2, Contract Corp-To-Corp, 12 Months
Depends on Experience
Travel not required

Job Description

Job Description:

  • 2+ years hands on experience with ML in production, building datasets, selecting, and engineering features, building, and optimizing algorithms
  • Experience in several of the following domains: Deep Learning, Regression, Classification, Clustering
  • Experience designing, developing, and successfully delivering complex, large-scale systems
  • Expertise in Python, Java, and AWS or equivalent cloud technology
  • Expertise in agile software development methodologies and using them efficiently within teams
  • Outstanding communication and organizational skills - able to translate between technical and business group, bring forward a vision or opinion
  • Relentless passion for delivering technology and experiences that help customers and developers.



  • Bachelor's or Master s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.


Company Information

GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending the benefits of our true global presence to customers in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries. If you are a California resident, more details on how we process your personal information can be found in the CCPA Recruitment Privacy Notice (
Dice Id : RTL65472
Position Id : 7505737
Originally Posted : 4 weeks ago

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