Machine Learning Engineer

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 @niharika.sikka@capgemini.com