Devops/Cloud/Data Platform Engineer
Job Description
long term Contract // Canada (Remote). Please share resumes to charandeep.singh@peopleintegra.com.
Job Title: Devops/Cloud/Data Platform Engineer
Location: Canada (Remote)
Contract (12+ months)
Note: Need 8+ years candidate and candidate must be in Canada with valid Canadian visa.
Job Description:
Key Responsibilities:
Manage the full ML model lifecycle, including development handoff, validation, approval, deployment, versioning, and retirement.
Define and enforce model governance standards, policies, and controls aligned with enterprise and regulatory requirements.
Design and implement MLOps pipelines for model packaging, CI/CD, promotion across environments, and rollback.
Develop and maintain model monitoring frameworks to track performance, drift, bias, data quality, and operational health.
Implement automated retraining pipelines and controlled release mechanisms for updated models.
Establish and maintain audit trails, lineage, and documentation for models, data, features, and decisions.
Partner with Applied ML Engineers to ensure models meet production, explain ability, and compliance standards before release.
Collaborate with compliance, risk, and legal teams to support regulatory reviews and audits.
Document and socialize governance processes, ensuring organizational adherence and audit readiness.
Continuously improve ML operations to enhance reliability, scalability, and compliance.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field, or equivalent experience.
8+ years of experience in MLOps, ML platform engineering, or model governance roles.
5+ years of experience managing ML model lifecycle governance in production environments.
4+ years of experience with model versioning, CI/CD, and deployment pipelines.
3+ years of experience in Python and familiarity with ML frameworks and model serving architectures.
3+ years of experience implementing monitoring and alerting for model performance, drift, and data quality.
5+ years of experience of regulatory, audit, and compliance requirements for ML systems.
