Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.
Operator will be trained to operate membrane extruder machines and perform quality checks on extruded product, incoming raw materials and perform periodic maintenance of machines and QC equipment.
Operator must be ready for 12 hours shift job.
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Operator will be trained to operate membrane extruder machines and perform quality checks on extruded product, incoming raw materials and perform periodic maintenance of machines and QC equipment.
Operator must be ready for 12 hours shift job.
Operator must be able to use simple software such as MS excel and Words for email communication and result recordings.
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Own and optimize the end-to-end Machine Learning Operations (MLOps) lifecycle for safety models, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
Design, implement, and continuously improve automated ML pipelines (training, inference, and evaluation) to increase efficiency, scalability, and reliability.
Collaborate with ML Engineers, Data Scientists, and other relevant cross functional teams to identify model performance gaps, data drift, and production issues, then drive initiatives to resolve them.
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Adopt cutting-edge Large Language Models that potentially improve business metrics (revenue and content quality), bringing an optimized experience for creators and operators in the live business.
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Lead a team of young and bright MLOps Engineers in conducting research, design, and prototype MLOps practices, tools, and frameworks to expedite the machine learning lifecycle at MoneyLion.
Work in collaboration with Data Scientists, Data Engineers, and AI/ML Engineering teams to enhance cross-team workflows and reduce time to deployment.
Improve the level of automation in the development and deployment processes of machine learning.
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Lead a team of young and bright MLOps Engineers in conducting research, design, and prototype MLOps practices, tools, and frameworks to expedite the machine learning lifecycle at MoneyLion.
Work in collaboration with Data Scientists, Data Engineers, and AI/ML Engineering teams to enhance cross-team workflows and reduce time to deployment.
Improve the level of automation in the development and deployment processes of machine learning.
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