MLOps Engineer GCP, VertexAI, Python

Toronto - Canada

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Developer

Job Description:

Platforms Services (Google Cloud)Google Cloud Platform (GCP) services AI Platform (Ver-tex AI) Cloud Storage Big Query Cloud Functions Cloud Pub Sub Cloud Build Airflow and Cloud Run. Element Platform visibility

Data Engineering Understanding of ML concepts and LLMs (training validation hyperpa-rameter tuning evaluation).Experience with TensorFlow Keras PyTorch and scikit-learn. OData preprocessing ETL and data pipelines using pysparkScala using serverless dataproc

for ML (MLOps)knowledge of CICD tools Looper versioning continuous training and deployment using Vertex AI pipelines.

Scripting Strong programming skills in Python Bash and SQL Automation of work-flows and ML pipelines.

Containerization Kubernetes (GKE) and Docker for containerization and orchestration. Good to have Helm charts and YAML for Kubernetes deployments.

Observability Cloud Monitoring Cloud Logging Prometheus and Grafana for moni-toring and alerting. Model performance monitoring with Vertex AI Model Monitoring.

Compliance Understanding of VPC firewall rules and service accounts. Managing se-crets using Secret Manager.

Science Must understand general data science methods and the development life cycleAn ML Ops Engineer responsible for building automating and managing scalable machine learning pipelines and deployments on Google Cloud Platform. ML ops & Data Engineering: Understand-ing of ML concepts and LLMs (training validation hyperparameter tuning evaluation).Experience with TensorFlow Keras PyTorch and scikit-learn. Data preprocessing ETL and data pipelines us-ing pyspark/Scala using serverless dataproc Knowledge of CI/CD tools Looper pro/Jenkins. Modell versioning continuous training and deployment using Vertex AI pipelines.

Experience- 6

Required Skills:

BASEL

Developer Job Description: Platforms Services (Google Cloud)Google Cloud Platform (GCP) services AI Platform (Ver-tex AI) Cloud Storage Big Query Cloud Functions Cloud Pub Sub Cloud Build Airflow and Cloud Run. Element Platform visibility Data Engineering Understanding of ML concepts and LLMs (train...