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Machine Learning Developer Intern (September – 4 months) - IBMConsulting

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IBM

2mo ago

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • Toronto, +2

Requirements

  • Required Technical and Professional Expertise:
  • Demonstrated familiarity or interest in machine learning, statistical analysis, or data mining through previous internships, personal/ academic projects, hackathons, and/or publications.
  • Experience with one or more scripting languages (Python preferred), or a proven computer science foundation
  • Able to confidently communicate ideas to an audience of peers/managers, comfortable and effective in working independently and as a member of a cross-functional team.
  • Must be eligible to work 4 months starting in September 202
  • Preferred Technical and Professional Expertise:
  • Minimum one work term in a data science or machine learning related role.
  • Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, TensorFlow).
  • General familiarity with databases and data-engineering tools (SQL, Spark).
  • Familiarity with cloud platforms (e.g. IBM Cloud, Azure, AWS)

Responsibilities

  • The successful candidate will join a fast-paced consulting team, composed of Partners, Product Managers, Data Scientists, Architects and Software Engineers to conceptualize, develop and deploy machine learning solutions to solve enterprise-scale problems. As a team, we pride ourselves on tackling some of the most difficult challenges our clients face by bringing together subject matter expertise, data science, and technical execution.
  • As an intern Data Scientist, you’ll have the unique opportunity to learn and use industry-leading data science technologies on a cloud platform (e.g. IBM Cloud, Azure) by working on innovative projects that generate value for external client engagements or internal initiatives.

IBM

Technology
Industry
10,001+
Employees
1911
Founded Year

Mission & Purpose

At IBM, we do more than work. We create. We create as technologists, developers, and engineers. We create with our partners. We create with our competitors. If you're searching for ways to make the world work better through technology and infrastructure, software and consulting, then we want to work with you. We're here to help every creator turn their "what if" into what is. Let's create something that will change everything