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Senior Data Scientist
hace 2 meses
Job Summary
We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Capgemini. As a key member of our data science team, you will be responsible for leading and consulting with business stakeholders and data science teams to define data engineering and MLOps requirements.
Key Responsibilities
- Collaborate with cross-functional teams to design and develop scalable machine learning systems and data-driven products.
- Develop and implement efficient algorithms and tools to transform business and data science prototypes.
- Solve complex problems with multi-layered data sets and optimize existing machine learning libraries and frameworks.
- Design and develop reusable data and feature stores for rules-based and AI/ML models.
- Develop 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.
- Build simple front-end reporting solutions for stakeholders to consume insights.
Requirements
- Experience building scalable machine learning systems and data-driven products working with cross-functional teams.
- Well-developed software engineering fundamentals, including the 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.
About Capgemini
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 systems to lifesaving technologies, 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.