Senior Machine Learning Developer (Montreal, QC)

SSENSE

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Firm Description

SSENSE is a world know-how platform working on the intersection of tradition, group, and commerce. Headquartered in Montreal, it options a mixture of established and rising luxurious manufacturers throughout womenswear, menswear, kidswear, and Every part Else™. SSENSE has garnered important acclaim as each an e-commerce engine and a producer of cultural content material, producing a median of 100 million month-to-month web page views, with roughly 80% of its viewers between the ages of 18 to 40.

 

Job Description

Concerning the Crew: 

The info platform’s mandate is to construct analytics capabilities and instruments wanted for the group. We embrace information mesh strategy when it comes to democratizing each information and machine studying capabilities that are put collectively by information platform area.

Every tech area has duty to supply the information and enterprise items to devour the information product for his or her evaluation use circumstances, whereas the information staff focuses on constructing capabilities, instruments, requirements, structure wanted for the platform.

Why Be part of Us: 

  • Construct instruments and frameworks to streamline the deployment and monitoring of machine studying fashions in a manufacturing atmosphere.
  • Work carefully with software program builders to combine machine studying capabilities into present and new merchandise.
  • Conduct thorough testing, validation, and debugging of machine studying fashions to make sure excessive efficiency and accuracy.
  • Collaborate with cross-functional groups to know enterprise necessities and translate them into machine studying options.
  • Collaborate with information scientists, information engineers, and different stakeholders to drive the event of data-driven options.
  • Coach information scientists and extra junior utilized scientist on finest practices of answer design

{Qualifications}

How To Excel In This Position: 

  • A minimal of 5 years expertise in ML Engineering and Knowledge Science with a deal with driving enterprise affect
  • Expertise working with AWS cloud options (SageMaker, lambda, step operate, s3, cloud formation, jenkins and different AI/ML companies)
  • Wonderful programming expertise utilizing SQL, Python

What Units You aside:

  • Having constructed finish to finish AI functions
  • Retail or E-Commerce Expertise
  • Good understanding of Net Analytics
  • Expertise with information processing instruments (Spark, Glue)

Extra Data

Perks And Advantages:

  • Prolonged well being and dental advantages, together with complete psychological well being packages and protection
  • Parental prime up program
  • Beneficiant Worker Low cost 
  • Entry to telemedicine and worker and household help program
  • Financial savings and retirement plan matching contributions
  • Gender Affirmation Protection 
  • Alternative to work with innovative applied sciences and an progressive staff that’s pushing the boundaries of know-how

Hybrid/Distant

#LI-Hybrid, 

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