ML Engineer

Mississauga, Ontario, CanadaOnsiteFull TimePosted 2 months ago

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Role summary

We are seeking an experienced ML Engineer to design and deploy scalable machine learning solutions on Google Cloud Platform (GCP). This role involves building and optimizing data pipelines and ML models using TensorFlow, PyTorch, and PySpark. You will implement CI/CD pipelines for ML, automate workflows with Python, SQL, and Bash, and manage containerized deployments using Docker and Kubernetes (GKE). Responsibilities also include monitoring system performance with Prometheus and Grafana, and ensuring security and compliance across ML systems. Strong hands-on experience with MLOps, GCP, data pipelines, CI/CD, and cloud-native tools is essential.

Job Description
Design and deploy scalable ML solutions using GCP (Vertex AI, BigQuery, Cloud Run, Airflow)

Build and optimize data pipelines and ML models using TensorFlow, PyTorch, and PySpark
Implement CI/CD pipelines for ML (Jenkins) with model versioning and automated deployments
Automate workflows using Python, SQL, and Bash
Work with Docker & Kubernetes (GKE) for containerized deployments
Monitor system performance using Prometheus, Grafana, and GCP tools
Ensure security, compliance, and best practices across ML systems

Strong experience in ML Engineering, MLOps, and GCP
Hands-on with data pipelines, CI/CD, and cloud-native tools
Solid programming and problem-solving skills

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