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Atlantis IT Groupvia Indeed
Data Scientist
Toronto, ON, CAPosted 5mo ago
Data ScientistMid LevelContract#python#pytorch#tensorflow#kubernetes#docker#gcp
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About the Role
Role: Data Scientist
Location: Toronto, ON
Duration: Long Term Contract
Job Description:
Expertise in cloud platforms| ML engineering| data pipelines| and CICD for deploying and managing machine learning solutions.Skill required1.Cloud Platforms Services (Google Cloud)oGoogle Cloud Platform (GCP) services AI Platform (Vertex AI)| Cloud Storage| BigQuery| Cloud Functions| Cloud PubSub| Cloud Build| Airflow| and Cloud Run.oElement Platform visibility 2.ML Data EngineeringoUnderstanding of ML concepts and LLMs (training| validation| hyperparameter tuning| evaluation).oExperience with TensorFlow| Keras| PyTorch| and scikit-learn.oData preprocessing| ETL| and data pipelines using pysparkScala using serverless dataproc 3.CICD for ML (MLOps)oKnowledge of CICD tools Looper proJenkins.oModel versioning| continuous training| and deployment using Vertex AI pipelines.4.Automation ScriptingoStrong programming skills in Python| Bash| and SQL oAutomation of workflows and ML pipelines.5.DevOps ContainerizationoKubernetes (GKE) and Docker for containerization and orchestration.oGood to have Helm charts and YAML for Kubernetes deployments.6.Monitoring ObservabilityoCloud Monitoring| Cloud Logging| Prometheus| and Grafana for monitoring and alerting.oModel performance monitoring with Vertex AI Model Monitoring.7.Security ComplianceoUnderstanding of VPC| firewall rules| and service accounts.oManaging secrets using Secret Manager.8.Data ScienceoMust 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.
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