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Responsibilities:
- Designing, implementing, and maintaining end-to-end ML architecture using AWS services
- Leading data acquisition, cleaning, and transformation workflows using AWS Glue and Lambda
- Building scalable data pipelines to feed ML models with high-quality, production-grade data
Requirements:
- 5+ years of professional IT or software engineering experience
- 2+ years of hands-on AWS experience in ML and data workloads
- Experience with Amazon SageMaker: model training, hosting, custom containers, and Pipelines
Bonus:
- Experience working with big data platforms like Apache Spark, EMR, or Lake Formation
Jobgether
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.