_When applicable, Bombardier promotes flexible and hybrid work policies._ **Why join us?** At Bombardier, we design, build and maintain the world’s peak-performing aircraft for the world’s most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together. The Digital Innovation Office within the Aftermarket Products & Services group has a single priority: our discerning customers. We strive to satisfy all their maintenance and operations needs by building a portfolio of cutting-edge digital applications, leveraging the latest technology on our thousands-strong fleet of business jets. Through big data and analytics, we blur the lines between the physical and digital worlds to elevate the customer experience. The Data Science & AI team is seeking a skilled specialist, Machine learning engineering to build end-to-end AI/ML pipelines in the cloud supporting our aftermarket digital products & services. You will join a collaborative and dynamic team of data scientists and data engineering professionals working on complex challenges, using the latest cloud services and technology stack. If you’re looking to shape the future of aviation while expanding your expertise, this opportunity is for you. **Bombardier’s Benefits Program** With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following: + Insurance plans ( _Dental, medical, life insurance, disability, and more)_ + Competitive base salary + Retirement savings plan + Employee Assistance Program + Tele Health Program **What are your contributions to the team?** + Support the Aftermarket Cloud Data Platform team develop and maintain data products tailored to the training and inference of enterprise-grade AI/ML systems such as our Smart Link Plus-driven Predictive Maintenance solution + Develop, using sound CI practices, scalable and production-ready AI/ML pipelines using the latest orchestration and automation tools + Deploy, using sound CD practices, validated and version-controlled AI/ML models using the latest experiment tracking and software release tools + Maintain the cloud infrastructure by monitoring its cost and performance, releasing new versions of the AI/ML models as required + Work in close collaboration with data engineers, data scientists, and business stakeholders to ensure the AI/ML solutions yield the desired outcome and are properly documented including the standardization of processes + Establish a robust governance to protect sensitive data, control infrastructure and model access, and ensure compliance requirements are met + Communicate findings and report back OKR/KPI’s to non-cloud practitioners, bridging the gap between technology and business **How to thrive in this role?** + You have a bachelor’s degree in computer science, Engineering, or related field + You have experience developing AI/ML pipelines in a business context with proven benefits + You have experience training, tuning, and validating AI/ML models on large datasets + You have experience deploying AI/ML models in the cloud + You have experience maintaining AI/ML solutions throughout their entire lifecycle + You have experience with time-series data, particularly telemetry data (asset) + You have experience with Databricks or Snowflake (asset) + You master Python, SQL, and Bash + You are proficient in data manipulation and analysis using Pandas or similar tools + You are proficient in big data processing using Spark or similar tools + You are result-driven, open-minded, curious, autonomous, and enthusiastic + You are a team player with above-average communication skills in English and French Please note: You don’t need all the skills, knowledge, and experience listed for this position! We’re not looking for the perfect candidate, we’re looking for great talent and resourcefulness. Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply. **Job** Specialist, Machine Learning Engineering **Primary Location** Administrative Centre (CA) **Organization** Aerospace Canada **Shift** Day job **Employee Status** Regular **Requisition** 6204 Specialist, Machine Learning Engineering