Machine Learning Operations Engineer

📍 Canada

HEALWELL AI (TSX: AIDX)

Job Description

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Machine Learning Operations Engineer

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HEALWELL AI (TSX: AIDX) About Us There are over 7,000 identified rare diseases affecting more than 300 million patients worldwide, including 1 in 12 patients in Canada. Many of these patients remain undiagnosed and unaware, leading to poor quality of life and potentially serious consequences. Healwell AI (TSX:AIDX) is a leader in AI-enabled clinical intelligence for rare diseases and specialty conditions. Through our proprietary clinical intelligence platform and deep analytical tools, HWAI enables physicians to quickly understand complex, high-risk patients and place them on the right care pathways—leading to better outcomes for patients, their families, and the healthcare system. Position Overview HWAI is seeking a motivated and passionate

Machine Learning Operations (MLOps) Engineer . In this role, you will be responsible for bridging the gap between AI application development and operational deployment. The ideal candidate will have a strong foundation in both traditional DevOps practices and the unique requirements of the machine learning lifecycle. This role involves working closely with data scientists, ML engineers, and software developers to ensure seamless integration, continuous deployment, and reliable operation of both software applications and machine learning models in a cloud environment. This is an excellent opportunity for someone with 5+ years of experience who is looking to take their career to the next level. You will have the chance to sharpen your technical skills while contributing to impactful projects in the healthcare sector. Key Responsibilities The successful candidate will work in a multifaceted role encompassing Cloud Architecture, Cloud Security, and DevOps/MLOps responsibilities:

Implement and automate CI/CD workflows for AI solutions. Deploy and maintain cloud-based ML models in production, ensuring performance and scalability. Design, deploy, and manage scalable, secure, and highly available cloud infrastructure on Azure, using Infrastructure as Code (IaC) principles. Build monitoring systems for data quality, model performance, and pipeline health. Collaborate with cross-functional teams to define problems and develop solutions. Implement versioning for code, models, and datasets to ensure reproducibility of experiments and deployments. Maintain and enforce security best practices for cloud environments, including identity and access management (IAM), encryption, and network security. Develop and maintain documentation for cloud architecture, processes, and systems. Diagnose and resolve issues related to application and model performance, pipeline failures, and infrastructure problems. Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field. 5+ years of MLOps or DevOps experience in production environments. Deep proficiency with Azure cloud and cloud-native services. Proficiency in Python and shell scripting. Hands-on experience with containerization (Docker) and orchestration (Kubernetes). Proficiency with Terraform. Experience with Databricks (MLflow, Spark) and Dagster. Knowledge of PostgreSQL or equivalent database management systems. Strong problem-solving skills, with the ability to work both independently and collaboratively. Preferred Qualifications

Certifications such as Azure Solutions Architect Expert. Additional certifications in cloud security or related domains. What You’ll Work With

Data Platform: Databricks (Spark, Delta Lake) + Weaviate vector store Orchestration: Dagster for pipeline management and scheduling Cloud: Azure services for compute, storage, and ML services Languages: Python, shell scripting Tools: Docker, Kubernetes, Terraform, Git, CI/CD pipelines Monitoring: Custom dashboards, alerting systems, and model performance tracking Culture & Work Environment

Communication: Open and honest communication with regular check-ins and team meetings to ensure alignment. Transparency: Inclusive decision-making processes, encouraging input from all team members. Promptness: Fast-paced work environment with an emphasis on meeting deadlines. Guidance: Support and mentorship from the VP of Technology throughout your experience. What We Offer

Hands-on experience with real-world data challenges in the medical field. Opportunities to expand your technical skill set and work with advanced AI tools. A collaborative team environment that fosters learning and innovation. Equal Opportunity Statement HWAI is an equal opportunity employer that welcomes applicants from all backgrounds, including persons with disabilities, visible minorities, women, and Indigenous peoples. HWAI provides reasonable accommodation for qualified job applicants with disabilities upon request and will notify successful applicants of relevant policies.

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Job Details

Posted Date: October 6, 2025
Job Type:
Location: Canada
Company: HEALWELL AI (TSX: AIDX)

Ready to Apply?

Don't miss this opportunity! Apply now and join our team.