Overview This range is provided by Plusgrade. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range CA$95,000.00/yr - CA$120,000.00/yrTravel is not just about the destination; it's about every memorymade along the way. We are dedicated to shaping the future of travel by partnering with 250+ airline, hospitality, cruise, passenger rail, and financial services companies to create new, meaningful revenue streams through incredible customer experiences. Rooted in our core values of being ambitious, innovative, and collaborative, we are driven to continuously raise the bar, exceed expectations, and bring out the best in everyone, fostering a culture where we believe we are better together, working towards an extraordinary future in travel. Come help us transform everyday travel into extraordinary experiences.Role As the ML Engineer for the ML Applications team, you will be responsible for designing, developing, and deploying cutting-edge machine learning platform solutions to solve challenging business problems. This role requires a strong foundation in software development, a passion for cutting-edge technology, excellent problem-solving skills, and the ability to work independently and collaboratively within a fast-paced environment. This role reports to the Director, ML Applications.What you will be doing Work in a small team passionate about enabling ML applications throughout the organizationProductionize, scale, and productize cutting-edge machine learning solutionsDesign and develop scalable and robust ML pipelines for predictive data to be consumed by downstream applications to improve the main KPIs, such as member engagement, revenue, and othersDesign and develop robust processes to monitor production ML pipelinesSupport production systems to deliver batch and streaming real-time model predictions to all applicationsActively participate in solution design and modeling to ensure ML products are developed according to best practices, standards, and ML architectural principlesWork closely with our Product, Engineering,



and Marketing teams to build the data and ML solutions to address business-critical questionsDeploy models and evaluate their performance; constantly test and improveResponsible for model retraining, drift monitoring, pipeline automation, quality control, and governance of production modelsWork closely with the OPS team to provide the necessary production supportYou are someone with 4+ years work experience with ML pipelines and ML-based Python developmentStrong knowledge of general software engineering principles and practicesExpertise with RESTful APIsExperienced building ML- and LLM-based recommendation systemsExperience designing and developing back-end components for low-latency and highly-scalable solutionsWorking knowledge of ML Ops principles and CI/CDExperience managing the machine learning algorithm lifecycleKnowledge of ML-based application design principlesExperience with containers and related infrastructures, such as Docker and KubernetesFamiliarity with native AWS toolsStrong optimization and debugging skillsSelf-disciplined, motivated, eager to help, and most importantly, a thirst for continual learningEffective communicator and collaborator, both within the immediate team and across other organizational unitsTeam spirit and a problem-solver mindsetNICE TO HAVES Knowledge of data science principlesExperience with prompt engineering, retrieval-augmented generation (RAG), and vector databasesAWS Architect certificationExperience with web application development and UI/UX optimizationExperience with the design, implementation, and deployment of machine learning algorithmsExperience with relational databases and in-memory storageOUR TECH STACK Languages: Python, SQL, Spark, PySparkTools: Snowflake, SnowPark, SplunkAWS Services: EKS, SageMaker, Bedrock, DynamoDB, Kinesis, RedShift, Lambda and othersContainerization: Kubernetes, DockerVersion Control: GitLabData & Analytics: Dataiku, TableauWHAT YOU'LL LOVE ABOUT US RRSP/401(k)



MatchingComprehensive Health PlansFlexible Paid Time OffTravel Experience CreditAnnual Wellness CreditTeam Events and Monthly LunchesHome Office/Commuter CreditWork From Anywhere ProgramParental Leave Top UpAdventure PassOUR PROCESS Plusgrade is an equal-opportunity employer and is committed to providing an accessible recruitment process. We welcome applications from all qualified individuals and are committed to equal employment opportunities regardless of gender identity or expression, race, ethnic origin, creed, place of origin, age, sex, marital status, physical or mental disability, sexual orientation, and any other category protected by law. Upon request we will provide accommodation for applicants with disabilities. If you have a preference regarding the language of your interviews, please inform our Talent Team when they reach out to you.We believe in diversity and inclusivity and that is why our interview process is designed for a positive candidate experience and to ensure every candidate is evaluated equally. We may utilize technology-assisted/ artificial intelligence tools to help us screen, assess, and select applicants for this position. This job posting is for an existing vacancy.Recruitment process Recruiter Phone InterviewHiring Manager InterviewTest or case study or take-home assessment (if applicable)Team InterviewAll candidates will be provided with feedback regardless if they pass or didn't pass any of our interview stages. All your information will be kept confidential.The base salary range is tailored to the advertised location and determined by several factors, including candidate expertise and internal peer equity. Final placement is based on a candidate's specific skill set and experience relative to the role's requirements.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.#J-18808-Ljbffr

📌 Backend Developer, Machine Learning - C$95,000 - C$120,000 A Year (Toronto)
🏢 Plusgrade
📍 Toronto