Data-Driven Decision Maker
1 day ago
Your Responsibilities
">- Productize ML Models: Collaborate with data scientists to transform prototypes into scalable, production-grade solutions, focusing on building efficient models for integration into live environments.
- End-to-End Model Deployment: Help deploy machine learning models into production environments, ensuring reliable and maintainable models using CI/CD pipelines.
- Data Preparation and Feature Engineering: Work with data scientists to preprocess, clean, and transform data for production-grade machine learning models.
- Collaborate with Product Teams: Support product managers and stakeholders in defining model requirements and ensuring alignment with product goals.
- Model Optimization and Scaling: Assist in optimizing machine learning models for improved performance and scalability in large-scale production environments.
- Build and Maintain ML Pipelines: Help build and maintain ML pipelines to automate model training, testing, and deployment, incorporating DevOps principles.
- Monitoring and Maintenance: Monitor deployed models, check for performance drift, and update models as needed.
- Model Evaluation and Reporting: Assist in evaluating model performance, analyzing metrics, and suggesting improvements.
- Documentation and Best Practices: Support documentation efforts related to model deployment processes and best practices.
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