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Über
Must have Skills: ML models AWS SageMaker AWS services
Required qualifications:
Responsibilities
- Bachelors degree in a relevant field required masters degree preferred7 plus years of relevant experience in AI engineering or machine learning engineering or data engineering experience - Minimum 3 plus years of hands-on experience building ETL pipelines using AWS services - Proven experience developing and implementing MLs pipeline for deploying monitoring and managing AI or ML models in production. - Proficient in Python And familiar with key machine learning frameworks and libraries - Strong understanding of cloud technologies and AI or ML platforms like AWS SageMaker. - Solid grasp of software engineering principles including design patterns testing security and version control. - Knowledge of the machine learning development life cycle (MDLC) and AI engineering best practices - Experience designing and implementing end to end machine learning pipelines and solution architectures
##Equal Employment Opportunity Statement We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other protected characteristic in accordance with applicable federal, state, and local laws. We are committed to creating an inclusive environment for all employees..##
Sprachkenntnisse
- English
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