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Zensar

DE&A - AIML - Data Science - Machine Learning

Zensar Bangalore South, Karnataka, India

IT Services and IT Consulting · 10,001+ employees

4 h ago
machine-learning Mid (2-5 yrs) Full-time India
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About the role

The role involves working within the Zenlabs AI CoE (ZEVA) team on data science and machine learning initiatives. The primary focus is on the proactive onboarding and integration of the candidate into the existing AI center of excellence.

What they look for

Data Science Machine Learning Artificial Intelligence

Requirements

The position requires a minimum of 2 years of experience in the field. Candidates should possess relevant expertise in machine learning and data science to contribute to digital solutions.

Full description

SRF raised for proactive onboarding of Srikanth Venkatesh in Zenlabs AI CoE (ZEVA)

Responsibilities

SRF raised for proactive onboarding of Srikanth Venkatesh in Zenlabs AI CoE (ZEVA)

Qualifications

SRF raised for proactive onboarding of Srikanth Venkatesh in Zenlabs AI CoE (ZEVA)

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

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