Danish Khan

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 Job Description
 
 
 
 
 
 
 
 The Senior Manager of Machine Learning Ops Engineers leads a team that focuses on the deployment, monitoring, and maintenance of machine learning solutions in production environments to ensure high efficiency and reliability
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
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 Manage and oversee the development and implementation of ML systems in production.
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 Collaborate with ML scientists and engineers to transition algorithms from prototyping to production.
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 Optimize ML pipelines for performance and scalability.
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 Ensure continuous integration and deployment (CI/CD) of ML models.
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 Develop and maintain a monitoring system for deployed models to ensure they perform as expected.
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 Lead, mentor, and grow the MLOps team.
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 Ensuring the reliability and robustness of machine learning systems in production.
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 Achieving targeted performance metrics and system uptime.
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 Compliance with data privacy and security regulations.
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 Timely update and iteration of ML models in response to new data and feedback.
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 Budget management and resource allocation for the MLOps function
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 Qualifications
 
 
 
 
 
 
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 Bachelors in Information Technology or Computer Science
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 5+ years of experience in data science or a related role
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 We thank all applicants for their interest, however only those shortlisted for an interview will be contacted. If you have not heard from us within two weeks of your application, please consider your application as unsuccessful.
 
 
 
 
 
 
 At e&amp; diversity is our strength and we are committed to creating an inclusive environment for all. We welcome and encourage all people to apply, regardless of gender, background, age and abilities. If you are a person of determination and require an adjustment or accommodation to the selection process, please send your request to DiversityEquity&amp;Inclusion@eand.com
 
 
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Senior Manager/ML & Advanced Analytics

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Senior Manager/ML & Advanced Analytics