Individually these are just words, but together they are our Values - Care, Commitment, Community, and Confidence. We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our AI/ML Platform team. The ideal candidate will have a strong background in designing, building, and deploying scalable machine learning solutions in both cloud and on-premise environments.

Hands-on experience with Snowflake, AWS, and Linux-based systems is essential. You will collaborate closely with data scientists, data engineers, and product teams to operationalize ML models and drive innovation across the organization. Design, develop, and deploy robust ML pipelines and services in production environments (cloud and on-prem).

Collaborate with cross-functional teams to understand business requirements and translate them into scalable ML solutions. Optimize model performance and ensure reliability, scalability, and maintainability of ML pipelines and systems. Implement MLOps best practices, including CI/CD, model versioning, monitoring, and retraining.

Work with Snowflake and AWS services (e.g., S3, EC2, ECR, MWAA) to build and deploy ML models on the cloud. Develop and maintain end-to-end on-premise ML workflows solutions. Ensure data privacy, security, and compliance in all ML solutions.

Mentor junior engineers and contribute to technical leadership within the team. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. ~5+ years of experience in machine learning engineering or related roles. ~ Strong proficiency in Python and ML libraries (e.g., Hands-on experience with Snowflake, Snowpark,



and Snowpark ML for data engineering and ML workflows. ~ Deep understanding of AWS cloud services and infrastructure for ML deployment. ~ Experience with Linux-based systems, including remote development via SSH. ~ Proficiency in Jenkins for orchestration and automation of ML workflows. ~ Strong proficiency in SQL, with the ability to optimize complex queries using query plans and performance tuning tools. ~ Familiarity with data versioning tools (e.g., DVC, Feast), ML workflow tools (e.g., MLflow, Airflow), and monitoring frameworks. ~ Would Be An Asset Experience with Apache Spark and Snowpark for scalable data processing. Contributions to open-source ML projects or publications.

Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity. Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities. Competitive vacation package with the option to purchase 5 extra days off per year Employee driven programs focused on gender, LGBTQ+, origins, diversity and inclusion Corporate wellness programs to support our employees’ physical and mental health Hybrid adaptable work model Please note that we may use AI tools to help us through the recruitment process.

Aviva

Canada has an accommodation process in place to provide accommodations for employees with disabilities. If upon commencement of employment you require a specific accommodation because of a disability, please contact your Talent Acquisition Partner so that an appropriate accommodation can be arranged.

📌 Machine Learning Engineer- Cloud Deployment (Remote) (Toronto)
🏢 Socket.dev
📍 Toronto