Role & responsibilities :
Study/ transform data science prototypes, design machine learning models and deploy appropriate ML algorithms and tools
Understand customer requirements & business goals and develop effective, scalable AI/ML code (Low code using our list of partners asset or High code though Python, etc)
Develop/maintain AI assets including define the problem, data extraction/ parsing/manipulation/augmentation, data cleansing & transformation Test and debug programs
Select appropriate datasets and data representation methods
3+ years proven experience in SW development.
Systems Engineering studies completed
Open to work on new technologies is mandatory.
Should have excellent programming/software development background.
Experience in R Language is an asset.
Experience in .Net, Java and Groovy is an asset
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
Strong analytical skills with the ability to analyze complex requirements and define technical/functional advanced solutions.
In-depth knowledge of mathematics, statistics, and algorithms.
Mail me @ni***********a@ca******i.com
Keyskills: Java Machine Learning Python .Net Groovy
Capgemini is headquartered in Paris, France and operates in more than 40 countries. They are one of the world’s largest providers of Consulting, Technology, and Outsourcing. Above all, Capgemini is a people company— 120,000 people in North America, Europe, South America and the Asia ...