About AroundHI We recruit talents for some world-class clients across the globe & industries for IT, Supply chain & more portfolios. We are currently looking for a motivated individual who wants to grow in their career as a MLOps Engineer with one of the most reputable national companies in Canada. Job Description: Responsibilities Build MLOps pipelines to support experimentation, continuous integration, deployment (CI/CD), verification, validation, and monitoring of ML models in production Collaborate with teams to drive the ML technical roadmap Collaborate with Machine Learning Engineers, Cloud Engineering and Product Managers to develop tools to support experimentation, training and production operations Build and maintain data pipelines using tools like Hadoop, Python, API Gateway, SageMaker, ECS/EKS, Fargate Lambda, Airflow, CloudWatch, AWS CDK Offer support and troubleshooting assistance for the ML pipeline, while continuously improving stability along the way Build and maintain systems employing an Infrastructure-as-Code approach Own the AWS stack which comprises all ML resources Establish standards and practices around MLOps, including governance, compliance, and data security Collaborate on managing ML infrastructure costs Qualifications and Requirements: 2+ years of experience with ML infrastructure and ML DevOps 4+ years of overall engineering experience in distributed systems and data infrastructure 3+ years experience coding in Python (preferred) Experience working with ML engineers to build tooling and automation to support the entire ML engineering lifecycle, from experimentation to production operations Experience with Kubernetes and ML CI/CD workflows 3+ years experience with AWS or other public cloud platforms (GCP, Azure, etc.) Excellent verbal and written communication skills. Job Type: Full-time Pay: From $65.00 per hour Schedule: 8 hour shift Work Location: Remote