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SSENSE: Staff Developer – Artificial Intelligence (Ai) And Machine Learning (Ml)

SSENSE

This is a Full-time position in Laval, QC posted July 27, 2021.

Company DescriptionSSENSE (pronounced [es-uhns]) is a global technology platform operating at the intersection of culture, community, and commerce.

Headquartered in Montreal, it features a mix of established and emerging luxury brands across womenswear, menswear, kidswear, and Everything Else.SSENSE has garnered critical acclaim as both an e-commerce engine and a producer of cultural content, generating an average of 100 million monthly page views.

Approximately 80% of its audience is between the ages of 18 to 40.

It is privately held and has achieved high double digit annual growth and profitability since its inception.Job DescriptionReporting to the Director of Software Development, the Staff Software Developer of AI & ML will spearhead various initiatives to accelerate the development and productionalization of ML models.

The teams of the Buying & Sell Through Optimization and the Customer Engagement domains are accelerating innovation by building AI-infused solutions for the buying & pricing of merchandise,and for personalized customer engagements and shopping experiences.

We are trying to solve the following difficult problems:How do we deliver a personalized shopping experience to our customers?How to leverage AI to select the optimal selling price for our products?How do we build machine learning systems that optimize our merchandise selection?What insights can we extract from data to deliver a better customer engagement?The ideal candidate has the ability to see the big picture from both a technical and business perspective, leadership skills to motivate the team, and the foresight to help strategize and drive the team in delivering objectives.

As a key player, this role provides the opportunity to make an impact on fast tracking our adoption of AI & ML, while influencing the product strategy and direction.ResponsibilitiesSolution Development (70%)Lead the development of AI-infused solutions for the business domains.Drive the implementation MLOps within the department.Collaborate cross functionally with the software development, data science, and data engineering teams to build and deploy new machine learning models.Collaborate with the Product and Business teams on the roadmap definition and business case development.Participate in the implementation through proactive collaboration with the development teams by involving them in the design discussions, participating in the sprint ceremonies, conducting code reviews and technical review sessions.Provide architectural designs, Proof Of Concepts, code samples and tools to support the implementation.

Continuous learning and knowledge sharing (20%)Act as an evangelist for AI / ML within the department.Continuous learning and sharing the knowledge of the latest technologies and trends in the fields of AI & ML.Actively contribute to SSENSE University, the internal peer learning platform, in order to promote continuous learningRecruiting and ambassadorship (10%)Participate in HR recruiting events, helping to identify and recruit top talent.Conduct interviews and document the outcome.Act as SSENSE ambassador in the tech community, representing the company in local meetups, conferences, contributing to open-source, publishing on the SSENSE tech blog, etcRequirementsQualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Strong preference for candidates with Master’s or PhD in AI/ML related fields.Deep understanding of machine learning principles.A minimum of 3 years experience building & deploying machine learning models in production.A minimum of 10 years experience designing and building software solutions.Experience in MLOps and building machine learning pipelines.Extensive knowledge of Python programming language and its libraries.Experience with machine learning libraries (TensorFlow, Scikit-Learn, Keras, PyTorch, etc…)Familiarity with Amazon SageMaker (Studio, Debugger, Model Tuning, Clarify, etc..)Knowledge data pipelines and data transformation techniques.Knowledge of big data technology (Hadoop, Spark, Hive, Pig)Familiarity with Apache AirflowSkillsHighly analytical and detail orientedStrong leadership, time management, and problem solving skillsAbility to influence and drive change, with a high sense of accountability and ownershipAbility to present complex technical information in a clear and concise manner to a variety of audiencesSolution-oriented mindset and can-do attitude to overcome challengesAbility to thrive in a fast-paced environment and master frequently changing technologies and techniquesAdditional InformationWORLD CLASS TECHNOLOGY Technology is at the core of everything we do at SSENSE.

Driven by an engineering mindset and a problem-solving attitude, we blend fashion with technology to deliver an unparalleled experience to our customers as we build seamless, custom solutions to deliver the SSENSE offering.WORLD CLASS TEAMThe SSENSE tech team is responsible for an international headless commerce platform.

Working in an agile environment, our squads are made up of experienced innovators in Product Management, QA, Design, DevOps, Software Development, Machine Learning, Data Engineering, and Security.

Headquartered in Montreal, our technology organization has been growing at a rate of 2X year-over-year and is doubling once again in 2021 as we expand across Canada, US, and Europe.WORLD CLASS PLATFORM The SSENSE platform runs on Amazon Web Services making use of serverless microservices across web, mobile and app.

Our event-source architecture already achieves over 10,000 requests / second and growing at an unmatched pace, currently unseen across the industry.

Our data-driven culture of innovation empowers every product team across the tech organization to explore building, testing and learning with the latest in Machine Learning techniques.

Our automated continuous improvement DevOps model (making use of both blue / green and canary deployments) results in an average of 50 production releases every day.Read more about us on our SSENSE Tech Blog.