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J&M Group

ML Engineer

J&M Group
Canada · Contract · Entry

Key Responsibilities 2. ML & Data Engineering 3. CI/CD for ML (MLOps) 4. Automation & Scripting 5. DevOps & Containerization 6. Monitoring & Observability 7. Security & Compliance 8. Data Science Fundamentals

  • Cloud Platform Services (GCP)
  • Hands-on experience with GCP services: Vertex AI, BigQuery, Cloud Storage, Cloud Functions, Cloud Pub/Sub, Cloud Build, Cloud Run, Airflow.
  • Platform visibility with Element Platform tools (if applicable).
  • Solid understanding of ML workflows and LLM concepts (training, validation, hyperparameter tuning).
  • Hands-on with TensorFlow, Keras, PyTorch, scikit-learn.
  • Build ETL pipelines using PySpark and Scala on Dataproc (serverless).
  • CI/CD tools like Looper, Jenkins for ML pipeline automation.
  • Experience in Vertex AI Pipelines, model versioning, and continuous deployment.
  • Strong skills in Python, Bash, and SQL.
  • Automate ML workflows and processes.
  • Experience with Kubernetes (GKE) and Docker.
  • Helm charts and YAML for Kubernetes deployment (good to have).
  • Use tools like Cloud Monitoring, Cloud Logging, Prometheus, Grafana.
  • Monitor model performance with Vertex AI Model Monitoring.
  • Knowledge of VPC, firewall rules, service accounts, and Secret Manager.
  • Understanding of data science lifecycle, methodologies, and best practices.

Essential Skills

  • GCP Services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, Cloud Run, Cloud Build, Airflow
  • ML Frameworks: TensorFlow, Keras, PyTorch, scikit-learn
  • Programming: Python, Bash, SQL
  • CI/CD Tools: Looper, Jenkins
  • MLOps Practices and Pipelines

Key Skills

Ranked by relevance

cloud ai cicd kubernetes tensorflow pytorch python keras mlops bash gcp containerization prometheus firewall jenkins storage devops scala etl
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Posted
Aug 26, 2025
Type
Contract
Level
Entry
Location
Mississauga
Company
J&M Group

Industries

IT Services IT Consulting

Categories

Engineering

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