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Zensar

DE&A - AIML - Machine Learning - Statistical Modeling

Zensar Bangalore South, Karnataka, India

IT Services and IT Consulting · 10,001+ employees

3 d ago
machine-learning Principal (10+ yrs) Full-time India
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About the role

The project manager will oversee AI-ML projects within Zenlabs. They are responsible for conceptualizing, designing, and managing digital solutions for enterprise clients.

What they look for

Artificial Intelligence Machine Learning Statistical Modeling Project Management Digital Solutions

Requirements

Candidates must have between 9 and 16 years of professional experience. The role requires expertise in AI-ML project management and statistical modeling.

Full description

SRF raised for hiring of AI-ML project manager within Zenlabs

Responsibilities

SRF raised for hiring of AI-ML project manager within Zenlabs

Qualifications

SRF raised for hiring of AI-ML project manager within Zenlabs

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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