MLOps / Data Engineer

📋 Description

• Design and maintain MLOps pipelines: Build, implement, and manage automated CI/CD pipelines for
• Develop scalable data processing solutions: Build and optimize distributed data pipelines using
• Manage Databricks environments: Configure and maintain Databricks infrastructure, optimize cluster
• Productionize machine learning models: Collaborate with data scientists to deploy ML models into
• Ensure reliability and performance: Implement automated testing, monitoring, and alerting
• Establish engineering best practices: Promote effective version control, model registry management

🎯 Requirements

• Professional experience: Proven experience in Data Engineering, MLOps, or DevOps roles
• Programming expertise: Strong Python programming skills and hands-on experience with Apache Spark.
• Databricks proficiency: Advanced experience with Databricks, including Delta Lake, structured
• CI/CD knowledge: Strong understanding of continuous integration and continuous delivery principles
• Cloud expertise: Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud
• Containerization and orchestration: Experience working with Kubernetes or OpenShift environments

🎁 Benefits

• Competitive compensation: Annual salary budget ranging from CAD 100,000 to CAD 125,000.
• Fully remote work: Work remotely from Canada.
• Generous paid time off: Four weeks of annual vacation plus five additional paid personal days.
• Comprehensive health coverage: Group insurance benefits starting on your first day.
• Telemedicine services: Access to convenient virtual healthcare services.
• Employee Assistance Program (EAP): Resources and support for personal and professional well-being.