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Data Scientist
hace 2 meses
We are seeking a highly skilled and motivated Machine Learning Engineer to join our team at CHUBB. The ideal candidate will have at least 3 years of experience in the field, with a strong background in machine learning, data science, and software engineering.
Key Responsibilities- Design and Develop Machine Learning Models: Create and implement machine learning models and algorithms to solve complex problems and enhance our products and services.
- Collaborate with Cross-Functional Teams: Work with cross-functional teams to understand business requirements and translate them into technical solutions.
- Data Preprocessing and Feature Engineering: Perform data preprocessing, feature engineering, and model validation to ensure high-quality data and accurate results.
- Optimize and Scale Machine Learning Models: Optimize and scale machine learning models for production, ensuring their performance and accuracy over time.
- Monitor and Maintain Deployed Models: Monitor and maintain deployed models, conducting experiments to evaluate model performance and identify areas for improvement.
- Stay Up-to-Date with Industry Developments: Stay current with the latest developments in machine learning and artificial intelligence, applying this knowledge to improve our products and services.
- Document Processes and Models: Document processes, models, and methodologies for reproducibility and knowledge sharing.
- Education: Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
- Experience: At least 3 years of experience as a Machine Learning Engineer or in a similar role.
- Skills: Proficiency in programming languages such as Python, R, or Java, experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn), strong understanding of statistical analysis and data mining techniques, familiarity with data preprocessing, feature engineering, and model evaluation, and experience with big data technologies (e.g., Hadoop, Spark).
- Preferred Skills: Experience with MLFlow for experiment tracking and model management, proficiency in using PySpark for big data processing, strong SQL skills for database querying and manipulation, knowledge of model serving techniques and tools for deploying machine learning models at scale, familiarity with DevOps practices and tools for CI/CD in machine learning, and understanding of software development best practices, including version control and testing.
