WilsonHCG

We are looking for a Software Engineer for the Machine Learning team for our client's office in Toronto. This is a 6 month contract role, hybrid.

Responsibilities:

• Work in agile pods to design and build cloud hosted, ML products with automated pipelines that run, monitor, and retrain ML Models
• Design AI/ML apps and implement automated model and pipeline adaption and validation working closely with data scientists and data engineers
• Support the full MLOps life cycle of new and existing ML applications (e.g., new releases, change management, monitoring and troubleshooting).
• Work as ML systems architecture design SME (e.g., develop and maintain enterprise standards, user guides, release notes, FAQs)
• Build processes supporting seamless ML integrations (e.g., app monitoring, troubleshooting, life cycle management and customer support)
• Maintain effective relationships with application userbase to develop education and communication content as per life cycle events
• Research and gain expertise on emerging tools and technologies. An enthusiasm to ask questions and try and learn new things is essential.

Requirements:

• Graduate degree in Computer Science, Information Systems, Software Engineering or another quantitative field
• Ability to work across the full stack and move fluidly between programming languages (e.g.: Python, SQL, Spark) and ML frameworks (e.g.: Airflow, MLFlow, Argo)
• Experience in cloud and high-performance computing environments
• Experience in AWS (e.g.: S3, Lambda, SageMaker, EKS, CloudWatch)
• Knowledge of relational and non-relational databases
• Nice to have knowledge of visualization technologies (e.g.: Tableau, PowerBI)
• Experience in development, deployment and operations of AI/ML modelling of complex datasets
• Experience in developing and maintaining APIs (e.g.: REST, gRPC)
• Experience specifying infrastructure and Infrastructure as a code (e.g.: Docker, Kubernetes, EKS, Terraform)
• Mentoring and/or technology evangelism/advocacy experience preferred