About the roleThis is a ripe opportunity for a Principal Machine Learning Architect to help a successful ad tech company leverage ML to further optimize our wealth of data and elevate our world-class platform to greater heights.Here’s what you’ll be doingDesign, develop and implementation of complex data-centric solutions, including large data set verification, transformation, and feature generationEnsure continuous high-quality input for ML model developmentDesign and implementation of model delivery systemsDevelop effective strategies on deployment and hosting of ML modelsManage and monitor deployed modelsAbility to deploy fast or real time inferencing a plusHere’s what you needMasters or PhD in a STEM field or equivalent experience in a Data Scientist or closely related roleIndustry experience applying ML at scaleExtensive knowledge of production infrastructure and pipelines for ML models (MLOps)Experience with several of the following: Classification, Regression, Pattern Recognition, Recommendation Systems, Targeting Systems, Ranking SystemsExperience with Python or other relevant programming languages and Machine Learning frameworksWork on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support proceduresInterest in performance optimizationsDeep knowledge of math, probability, statistics, and algorithmsStrong business acumen with the ability to work cross-functionally to source data, establish requirements and define successExperience working with an advanced engineering teamKnowledge of best practices for software engineeringBonus if you have a software engineering backgroundPublished articles or papersNice to HaveExperience with participating in the machine learning competitions such as KaggleExperience in ad tech (i.E.



knowledge of digital programmatic advertising data)Why you’ll love working hereComprehensive health, dental, and vision plans for you and your dependentsPaid time off, health days, and personal obligation days plus versatile work schedulesCompetitive retirement matching plansEquity packagesGenerous parental leave available to birthing, non-birthing, and adoptive parentsAnnual well-being allowance plus fitness discounts and group wellness activitiesCommuter benefits and discounts, where availableEmployee assistance programMental health first aid program that provides an in-the-moment point of contact and reassuranceOne day of volunteer time off per year and a donation-matching programMonthly town halls and regular community-led team eventsMultiple resources and programming to support continuous learningA workplace that supports a diverse, equitable, and inclusive environment – learn more hereEqual employment opportunityAt Index Exchange, we believe that successful products are built by teams just as diverse as the audience who uses them. As such, we are committed to equal employment opportunities. We celebrate diversity of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Additionally, we realize that diversity is deeper than any status or classification—diversity is the human experience. For those who show grit, passion, and humility—Index will welcome you.Accessibility for applicants with disabilitiesIndex Exchange welcomes and encourages individuals with disabilities to apply to work with us. If you require an accommodation, please share the details of your request and any information how we can assist you with the hiring recruiter when they contact you. Index Exchange will make reasonable efforts to ensure accommodation requests are met throughout the recruitment process.#J-18808-Ljbffr

📌 Principal Machine Learning Architect Toronto
🏢 Index Exchange
📍 Toronto