Posted:3 weeks ago|
Platform:
On-site
Part Time
Role Proficiency:
Independently interprets data and analyses results using statistical techniques
Outcomes:
Measures of Outcomes:
Outputs Expected:
Data Mining:
Reorganizing/Filtering data:
Analysis:
Create Data Models:
Create Reports:
Document:
Manage knowledge:
Status Reporting:
Code:
Code Versioning:
Quality:
Performance Management:
Skill Examples:
Knowledge Examples:
Knowledge Examples
Additional Comments:
Statistical Concepts, SQL, Machine Learning (Regression and Classification), Deep Learning (ANN, RNN, CNN), Advanced NLP, Computer Vision, Gen AI/LLM (Prompt Engineering, RAG, Fine Tuning), AWS Sagemaker/Azure ML/Google Vertex AI, Basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn)
Data Science,Python,Deep Learning
UST Global
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