Senior Data Scientist
hace 2 semanas
We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Capgemini. As a key member of our data engineering team, you will be responsible for designing and implementing scalable machine learning systems and data-driven products.
Key Responsibilities- Collaborate with business stakeholders and data science teams to define data engineering and MLOps requirements.
- Transform business and data science prototypes into production-ready solutions using machine learning algorithms and tools.
- Solve complex problems with multi-layered data sets and optimize existing machine learning libraries and frameworks.
- Develop reusable data and feature stores for rules-based and AI/ML models.
- Design and implement alerting tool frameworks for monitoring productionized model performance and effectiveness.
- Automate deployments incorporating MLOps best practices into productionalized solutions.
- Document frameworks and machine-learning processes.
- Develop simple front-end reporting solutions for shipboard engineers to consume insights.
- Experience building scalable machine learning systems and data-driven products working with cross-functional teams.
- Well-developed software engineering fundamentals, including use of proper development, QA, and production environments.
- Experience creating a Python package.
- Proficiency in Python and experience with common data analytics packages (e.g., Numpy, Pandas, Sklearn, PySpark).
- Proficiency in Databricks & MLFlow.
- Proficiency in SQL.
At Capgemini, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to lifesaving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities, where you can make a difference, and where no two days are the same.
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