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end-to-end Machine Learning pipelines
using AWS services: Amazon SageMaker AWS Glue AWS Lambda Amazon S3 Perform: Data collection Data cleaning Feature engineering Build predictive models and statistical solutions using: Python R Similar ML/Data Science tools Deploy, monitor, and optimize ML models using
AWS MLOps best practices Collaborate with Data Engineering teams to build and maintain ETL pipelines Use AWS analytics tools for reporting and visualization: Athena Redshift QuickSight EMR Convert business requirements into AI/ML-driven insights and solutions Work on AI/ML use cases including: Forecasting Anomaly Detection NLP Computer Vision Recommendation Systems Ensure data security, governance, and compliance standards within AWS environments Required Skill Set: AWS Cloud & ML ecosystem expertise Machine Learning & Data Science experience Strong Python/R programming ETL and Data Engineering understanding MLOps & model deployment experience Analytical and stakeholder communication skills Thanks and Regards, Johnson S – Sr.Technical Recruiter Aptino, Inc. 8176239800 Johnson.sakare@aptino.com www.aptino.com
Languages
- English
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