Offer summary
Qualifications:
Experience in building scalable ML systems, Proficiency in Python and SQL.Key responsabilities:
- Lead data engineering and MLOps requirements definition
- Optimize machine learning libraries and frameworks
Match score not available
Priority access
Match score not available
Machine Learning Engineer
72% Flex
10001
Employees
Job description
Your missions
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.
Responsibilities
At Capgemini Engineering, the world leader in engineering services, 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. Where no two days are the same.
Responsibilities
- 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).
- 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.
At Capgemini Engineering, the world leader in engineering services, 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. Where no two days are the same.
Required profile
Experience
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory. Soft Skills
- Team Collaboration
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