AI Engineer

OverviewELITS Canada Inc. is a subsidiary of Accelerate at Iver. Our parent company Iver has 1,700 employees today and is growing and now we are looking for new employees who want to join our journey. As part of Accelerate at Iver, you are at the absolute forefront of technology and work on exciting digitization and transformation projects with market-leading customers. We are passionate about realizing digital opportunities in the cloud. Together with our customers, we close the gap between aspiration and successful implementation. Communication is an essential part of the work since we work closely with our customers. As an employee at ELITS you will become a part of a great team that always responds to the customer with humility, and at the same time is very proud of what we deliver.ELITS is now looking for an AI Engineer for our operations in Montreal.About this positionAs a Mid-Senior AI Engineer, you will be responsible for turning AI and machine learning models into robust, scalable production solutions. Your expertise in model deployment, performance optimization, and workflow automation will help deliver critical insights and operational excellence. You’ll collaborate with Data Scientists, MLOps engineers, and application teams to ensure solutions are reliable and high-performing in real-world scenarios.ResponsibilitiesProductionize machine learning models and deploy them at scale using best-practice engineering principles.Tune model and infrastructure performance for speed, scalability, and resource efficiency.Build end-to-end automated pipelines for model serving, monitoring, and management.Collaborate with data scientists to transition prototypes to production, refactoring code as needed.Implement testing, validation, and continuous integration/continuous deployment (CI/CD) for ML workflows.Monitor deployed models, proactively address drift and performance issues, and execute retraining as required.Apply containerization, orchestration, and cloud MLOps tooling to manage models in production.Document processes, performance metrics, and system configurations for collaboration and reproducibility.RequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or related field.4+ years of experience in AI/ML engineering, with a focus on production environments.Hands-on expertise with Python, Java, or equivalent programming languages.Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and deployment tools (Docker, Kubernetes).Expertise in pipeline automation, CI/CD for ML, and model performance monitoring.Familiarity with cloud platforms (AWS, Azure, GCP) and workflow orchestration.Proven track record of optimizing deployed AI systems for real-world applications.Strong problem-solving and technical communication skills.PreferredExperience transitioning models from R&D to production in enterprise settings.Prior exposure to MLOps tools (MLflow, Seldon, Kubeflow, Airflow).Contributions to open-source or published work in AI/ML engineering.QualitiesCommunicative and a positive attitude towards customers and colleaguesAnalytical skills, logical reasoning, and excellent problem-solving skillsSense of responsibility, autonomy, and resourcefulnessTeam player, organized, and strive for results and qualityCreative with ideas to improve the productAbility to coordinate and handle more than one task at the same timeBeing proactiveAre you a social, flexible, and structured person with a great interest in information technology? Do you find development, constructing, and use of the latest technologies challenging? In that case – send your application to us todayThis position is open to Canadian residents (persons with work permit in Canada).ELITS - Accelerate at Iver #J-18808-Ljbffr