Required Qualifications
• Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, or Machine Learning.
• Proven ability to apply modeling and analytical skills to real-world problems.
• Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and statistical concepts (regression, properties of distributions, statistical tests, etc.).
• Solid programming skills 2-3 languages out of R, SQL, Python, TensorFlow, PySpark, Java, JavaScript or C++. Absolutely must have - graduate school level knowledge of Revenue Management models and algorithms.
• Experience (minimum 4 out of 7) with deployment of machine learning and statistical models on a cloud:
1. MLOps within the enterprise CI/CD process for ML models – 2 years
2. Experience deploying ML APIs in production environments in GCP using GKE – 2 years
3. Experience in using GCP Vertex AI for ML and BigQuery – 1 year
4. Knowledge in Terraform and Containers technologies – 2 years
5. Experience writing data processing jobs using GCP Dataflow and Dataproc – 2 years
6. Experience setting up ML model monitoring and autoscaling for ML prediction jobs – 1 year
7. Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry and Analytics Hub – 1 year
Key Skills
Ranked by relevance
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- Posted
- Dec 12, 2024
- Type
- Contract
- Level
- Mid-Senior
- Location
- Canada
- Company
- Veridian Tech Solutions, Inc.
Industries
Categories
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