| Lead ML Engineer || St. Louis, MO (Day one Onsite) || Ex- Mastercard Candidates Only at Day, New York, USA |
| Email: [email protected] |
| HI All, Ex- Mastercard Candidates Only Lead ML Engineer St. Louis, MO (Day one Onsite) JD: 1/ Transform prototypes into production-grade models Work with data scientists and AI strategists to develop requirements for production models Design and develop robust applications to manage production models Collaborate with data governance and technical teams to ensure compliance with Mastercard AI and engineering standards 2/ Maintain models in production Manage the full CI/CD cycle for live models including testing and deployment Manage label feedback and model retraining processes Develop logging, alerting, and mitigation strategies for handling model errors Collaborate with data scientists to design and develop drift detection and accuracy measurements for live models 3/ Contribute to AI platform and engineering practices Collaborate with DS and ML engineering leadership to develop coding standards and practices across the applied AI team Research, test, and help train the team on using leading edge AI platforms, such as auto ML libraries, graph databases, and cloud execution frameworks Contribute to the teams AI infrastructure strategy and management All about you 2+ years of industry experience in ML engineering Strong experience in Python Experience in data product development, analytical models, and model governance Experience with AI workflow management tools such as Airflow, Kedro, or Luigi Exposure statistical modeling, machine learning algorithms, and predictive analytics. Highly structured and organized work planning skills Strong understanding of the AI development lifecycle and Agile practices Proficiency in big data technologies like Hadoop, Spark, or similar frameworks. Experience with graph databases a plus. Experience in working with cloud computing platforms like AWS, Azure, or Google Cloud. Proven track record of delivering data products in environments with strict adherence to security and model governance standards. Bachelor's degree in computer science, analytics, mathematics, statistics, economics, industrial engineering, or physical sciences. Thanks & Regards Mohd shuaib [email protected] www.signinsol.com To follow and receive more updates please Click Here . -- Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology Missouri Lead ML Engineer || St. Louis, MO (Day one Onsite) || Ex- Mastercard Candidates Only [email protected] |
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| Sat Sep 28 01:31:00 UTC 2024 |