Ml Ops Engineer

Mississauga, ON, Canada

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Job Description

We are hiring an ML Ops Engineer for our Retail Client based in Mississauga, ON and is ideal for professionals who bring hands-on expertise in deploying, automating, and scaling machine learning models in production environments.
The ideal candidate will have strong experience working with Google Cloud Platform (GCP) and deep knowledge of MLOps practices, data engineering, and ML model lifecycle management.
Job Title- ML Ops Engineer
Location-Mississauga, ON
Must Haves:
Expertise in GCP services including Vertex AI, BigQuery, Cloud Functions, Pub/Sub, and Cloud Run
Solid understanding of ML workflows including training, tuning, validation, and evaluation (LLMs a plus)
Experience with TensorFlow, PyTorch, Keras, scikit-learn, and ETL pipelines using PySpark/Scala
Hands-on with CI/CD tools like Looper pro or Jenkins for ML deployment
Strong scripting in Python, Bash, and SQL; workflow automation experience
Proficiency in Docker, Kubernetes (GKE); YAML & Helm knowledge is a plus
Familiarity with monitoring tools like Prometheus, Grafana, and Vertex AI Model Monitoring
Working knowledge of cloud security (VPC, service accounts, Secret Manager)
Basic understanding of data science methodologies and lifecycle