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About the Role
Job Description
Essential Functions:
Proficient in exploratory data analysis (EDA) using Python's scientific libraries including Num Py, Pandas, Matplotlib, Seaborn, and scikit‐learn. Strong development experience in Python. Hands‐on experience building, training, testing, validating, and productizing machine learning models for high‐performance use cases. Solid understanding of core machine learning concepts, including feature engineering, model evaluation, and optimization. Experience implementing MLOps best practices, including model versioning, monitoring, and CI/CD pipelines for ML models. Hands‐on experience with AWS Sage Maker for building, training, tuning, and deploying ML models. Hands‐on experience with to AWS services for machine learning workloads, such as S3, EC2, ECR, EKS, Lambda, Cloud Watch. Strong understanding of model explainability frameworks such as SHAP, and the ability to interpret and explain model behavior. Experience debugging and analyzing ...Ready to Join Through a Referral?
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