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Machine Learning Specialist

  • Location

    Seattle

  • Sector:

    Data Science

  • Job type:

    Permanent

  • Salary:

    Competitive

  • Contact:

    Amelia Jones

  • Contact email:

    amelia@intelletec.com

  • Job ref:

    AJ16

  • Startdate:

    ASAP

  • Consultant:

    Amelia Jones

MACHINE LEARNING SPECIALIST - COMPUTER VISION

SEATTLE

 

Intelletec are working with a SAAS engineering organization that focuses on creating industry-leading hospitality solutions to help deliver a superior guest experience.

 

They are looking for a Senior Applied Scientist who has a deep passion for building machine-learning solutions and can help us take their products to the next level. The role will give you the opportunity to build something from the ground up, the role is hands on with executive visibility.

 

Responsibilities

  • Conduct hands-on data analysis and design machine-learning models.

  • Work closely with software engineers on detailed requirements, technical designs and solutions.

  • Provide technical leadership and research new machine learning approaches to drive innovation.

  • Help drive adoption of Machine Learning across the company.

 Qualifications

  • Master’s degree in Data Science, Analytics or Computer Science with Machine Learning specialization or related discipline. A PhD is preferred.

  • 5+ years hands-on experience in building Machine Learning solutions.

  • 3+ years’ experience with data structures, algorithm design, problem solving and complex analysis.

  • Strong coding knowledge, experience with Azure or AWS machine learning pipelines.

  • Excellent understanding of convolution neural networks and other machine vision algorithms and methodologies.

  • Experience working effectively with science, data processing, and software engineering teams.

  • Excellent oral and written communication skills, with the ability to effectively communicate complex technical concepts and solutions.

  • Proven hands on experience working with large data sets and training models.

  • Proven track record of executing complex projects.