Data Science/ML

Who We Are: CAE Vision: Our vision is to be the worldwide partner of choice in defense and security, and civil aviation by revolutionizing our customers' training and critical op…

• 29 days ago

• Programming Libraries Expert-level proficiency in Python and its core data science libraries (Pandas| NumPy| Scikit-learn).
• Strong proficiency in SQL for complex data extraction and manipulation.
• Machine Learning Frameworks Hands-on experience with modern deep learning frameworks such as TensorFlow or PyTorch.
• Statistical Modeling Deep understanding of statistical concepts and a wide range of machine learning algorithms| with proven experience in time-series forecasting and anomaly detection.
• Big Data Technologies Demonstrable experience working with large datasets using distributed computing frameworks| specifically Apache Spark.
• Database Systems Experience querying and working with data from multiple relational database systems (e.g.| PostgreSQL| Oracle| MS SQL Server).
• Cloud Platforms Experience building and deploying data science solutions on a major cloud platform (AWS| GCP| or Azure).
• Familiarity with their native ML services (e.g.| AWS SageMaker| Google Vertex AI) is a strong plus.
• MLOps Tooling Practical experience with MLOps principles and tools for model versioning| tracking| and deployment (e.g.| MLflow| Docker).

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