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This listing was closed on Jul 19, 2026.
Browse Open JobsTechnical Architect- MLOPs Engineer
Summary by AIEngineer.careers
Technical Architect- MLOPs Engineer is a MLOps Engineer role (full-time). with Mphasis. in TORONTO, CA. Imported listing (source: ca.linkedin.com). Apply on the employer's site (ca.linkedin.com).
Imported listing (source: ca.linkedin.com) · Apply on ca.linkedin.com
TORONTO · CA
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from ca.linkedin.com
Mphasis is seeking an experienced MLOps Engineer to design, build, and manage ML/LLM pipelines using open-source and cloud-native tools. The role involves deploying models on AWS, GCP, or Azure, monitoring performance, and optimizing LLM inference. Candidates should have 10+ years of MLOps experience and strong DevOps skills.
Responsibilities
- Design and manage MLOPs and LLMOPs pipelines for data ingestion, training, validation, deployment, and monitoring.
- Set up cloud-native MLOPs pipelines on AWS, GCP, or Azure.
- Monitor models in production using Prometheus, Grafana, and Tensorboard.
- Implement CI/CD pipelines for ML models with GitHub Actions, Jenkins, or GitLab CI.
Requirements
- 10+ years of experience in MLOps
- Proficiency with Kubernetes and Docker for container orchestration
- Experience with open-source MLOPs tools (MLflow, Kubeflow, DVC) and data versioning
- Hands-on experience with cloud-native ML tools in AWS, GCP, or Azure
- Knowledge of Python or Bash scripting
- Solid understanding of CI/CD practices and tools (GitHub Actions, Jenkins, GitLab CI/CD)
- Proficient in infrastructure-as-code tools like Terraform or Ansible
Mphasis
Bengaluru · IN · 31645+ employees
Mphasis is an Indian multinational information technology service and consulting company. It provides infrastructure technology and applications outsourcing services, as well as application development, integration, and management services.
