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Machine Learning Engineer @ Capgemini

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 Machine Learning Engineer

Job Description

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

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: IT & Information Security
Role Category: IT & Information Security - Other
Role: IT & Information Security - Other
Employement Type: Full time

Contact Details:

Company: Capgemini
Location(s): Hyderabad

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Keyskills:   Java Machine Learning Python .Net Groovy

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Capgemini

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 ...