Machine Learning Engineer

at  CAPGEMINI ENGINEERING

MACHINE LEARNING ENGINEER

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unluck the value of technology and build a more sustainable, more inclusive world.

REQUIRED SKILLS

• 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, and the ability to write production-level code when needed.
• 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.

• Lead and consult with business stakeholders and data science teams to define data engineering and MLOps requirements.
• Transforming business and data science prototypes and applying appropriate algorithms and tools.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing reusable data and feature stores for rules-based and AI/ML models.
• Developing 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 solution for shipboard engineers to consume the insights. (web app development).