Data Engineer-GCP, Vertex AI, MLOps

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profile Job Location:

Mississauga - Canada

profile Monthly Salary: CAD 10 - 10
profile Experience Required: 5years
Posted on: 2 hours ago
Vacancies: 1 Vacancy

Job Summary

Experience Required: 8
Knowledge of CI/CD tools Looper pro/Jenkins.
Model versioning continuous training and de-ployment using Vertex AI pipelines.
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
ML ops & Data Engineering: Understanding of ML concepts and LLMs (training validation hyperparameter tuning evaluation).
Experience with TensorFlow Keras PyTorch and scikit-learn.
Data preprocessing ETL and data pipelines using spark/Scala using serverless datap-roc
Knowledge of CI/CD tools Looper pro/Jenkins.
Model versioning continuous training and deployment using Vertex AI pipelines.


Required Skills:

Hands-on working experience architecting Guidewire ClaimCenter solutions including customization and integration. Guidewire certification is a technologies of interest: Guidewire Cloud Salesforce CRM legacy modernization and AWS. Proven knowledge & architecture experience in architecture (digital / digital marketing / micro / macro / monolithic services APIs) application integration service-oriented architecture event-driven architecture application architecture distributed architecture data architecture and experience with modelling languages & techniques. Can quickly comprehend the functions and capabilities of new technologies. Can understand the long-term (big picture) and short-term perspectives of situations. Strong technical background (platforms languages protocols frameworks open source etc.).Experience with architecture frameworks (TOGAF) & architecture certifications a in engaging and supporting claims teams and understanding their day-to-day operations in the P&C insurance space. Open and clear connect with the business telecom infrastructure security audit vendors and software engineering. Driven by challenges and proactive and a motivation for on security standard methodologies and understand the impacts it can have on a working in a constantly evolving technological excellent teammate who demonstrates leadership. Comfortable speaking with all levels of the organization and different audiences.

Experience Required: 8 Knowledge of CI/CD tools Looper pro/Jenkins. Model versioning continuous training and de-ployment using Vertex AI pipelines. 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. ...
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Company Industry

IT Services and IT Consulting

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala