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- This position will partner with Data Scientists and Data Engineers to operationalize models and deliver insights to the business
- Take responsibility for ensuring that Machine Learning code, models and pipelines are deployed successfully into production, and troubleshooting issues that arise
- Continuously integrate and ship code into The client’s on premise and cloud Production environments
- Transform data science protypes and applying appropriate ML algorithms and tools
- Develop deep learning systems to various use cases based on the business needs
- Automate model training and testing and deployment via machine learning continuous delivery pipelines
- Build data APIs and data delivery services that support critical operational and analytical applications for The client’s internal business operations, customers and partners
- Ensure a good data flow between database and backend systems
- Design and implement metrics to verify model and algorithm effectiveness.
- Optimizing solutions for performance and scalability
- Define KPIs and acceptance criteria for model performance in production
- Ensure that the client’s methodology, standards and procedures are adopted and implemented
- Ensure that the technical solutions meet the customers' business goals and that customer satisfaction with the project and conclusion is high.
- Act as a Point of contact for technical issues, creating documentation, monitoring service levels.
- Coordinate activities with internal/external technology owners/service providers.