CHENNAI · FULLTIME
Machine Learning Engineer
Capgemini
Chennai · onsite · Posted 1d ago
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Undisclosed5–10 yrsfulltimeChennai
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Section · 01
About this role
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
Your Role
- Must have experience with Machine Learning Model Development
- Expert Level Proficiency in Data Handling (SQL)
- Hands-on with Model Engineering and Improvement
- Strong experience in Model Deployment and Productionlization
Your Profile
- Minimum 5+ years of overall experience.
- Strong hands-on experience in Machine Learning using at least one cloud platform: GCP, AWS, or Azure.
- Candidates without hands-on cloud experience should not be considered for the interview.
- GCP experience will be a significant advantage.
What you'll love about working here
- We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance
- Our focus will be your career growth & professional development to support you in exploring the world of opportunities.
- Equip yourself with valuable certifications & training programmes in the latest technologies such as Machine Learning.
Sourced from naukri
Section · 02
Skills
Model Deploymentcloud platformgoogle cloud platformamazon web servicesdata handlingdeploymentcloudSQLMicrosoft AzureModel DevelopmentMachine Learning
Section · Company
About Capgemini
Capgemini
IT Services & Consulting
235k+
employees
1967
59 years old
Mumbai, Maharashtra
India
About
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
Industries
IT Services & ConsultingAnalytics & KPOBankingSoftware Product
Employee ratings
53,345 reviews
3.6/ 5
Culture
3.6
Career growth
2.8
Work-life
3.8
Employees rate it well for
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