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Machine Learning Operations (ML Ops) Engineer

Toronto, ON, Canada
Job ID: 44917

Description

Ingram Micro helps businesses fully realize the promise of technology.TM  No other company delivers the full spectrum of global technology and supply chain services to businesses around the world.  Ingram Micro’s global infrastructure and deep expertise in technology solutions, supply chain, cloud, and mobility enable its business partners to operate efficiently and successfully in the markets they serve.  Combined with distinct market insights and the trust and dependability generated from decades of strong partner relationships, Ingram Micro stands apart as the global technology services provider for the future.


Machine Learning Operations (ML Ops) Engineer

We are seeking a Machine Learning Operations (ML Ops) Engineer to develop products and tools consuming the advanced analytics solutions developed by the global data science team.

The role will collaborate with a diverse team of highly talented Ph.Ds., M.A.s, data engineers, and industry experts to use advanced scientific techniques. You will focus on building a product portfolio, new product development, and owning sub-streams of projects that require effective communication with cross-functional teams.
As an ML Ops Engineer, you will push machine learning models to production, work with large granular data sets, communicate results to key internal and external stakeholders, and be positioned as a Subject Matter Expert.

Qualifications and Role

  • 2 years of hands-on Machine Learning Operations or related experience, including experience with enterprise data products
  • Experience working on data products, such as productizing ML models
  • Experience and focus on the elements critical to supporting data science-driven products - reliable inbound data, managing data gaps and variation, data cleansing, and data quality
  • Experience implementing statistical models or machine learning algorithms and scaling to productize with production-ready insights.
  • ML Ops Experience building production-grade ML systems and pushing ML models to production
  • 2-year experience (Must-have):
    • Python
    • SQL
    • Docker Container
    • Linux/Unix
  • Experience with RESTful API is a plus
  • Effective verbal and written communication skills; the ability to collaborate with internal and external partners
  • M.S. in Applied Statistics, Mathematics, Computer Science, Engineering, Physics, Machine Learning or other quantitative disciplines

 

For many transactions, IM has end-to-end visibility across the supply chain: from upstream manufacturer, through distribution, to resellers, to final end-users. This perspective provides opportunities to tackle the most challenging research and applied science questions with answers that drive strategic, operational, and tactical decisions with immediate and long-term relevance around the world.



Due to COVID-19, our office associates are currently working from home. Keeping in mind the overall health and safety of our associates and candidates, we’ve implemented a virtual hiring process and continue to interview candidates by phone or video and are onboarding new hires remotely

Ingram Micro is an inclusive Equal Employment Opportunity employer, with a focus on Diversity, Equity & Inclusion. We consider applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disability, or any other characteristic protected by law. If you require accommodations or assistance to complete the online application process, please reach out to the Talent Acquisition Specialist/Job Poster and identify the type of accommodation or assistance you are requesting. We will try our best to make these accommodations. Please do not include any medical or health information in this email.

 

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