BENGALURU · FULLTIME
Senior Data Scientist
Brillio
Bengaluru · onsite · Posted 67d ago
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Section · 01
About this role
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as Brillians, distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Job Description: Applied Machine Learning Enginee
rExp: 10+Year
sLocation: Bangalor
e
Mandate Skills: ML Ops, Applied ML, Spark, Pyth
on
About the Ro
le:We are looking for a highly skilled Applied Machine Learning Engineer who combines strong mathematical foundations, software engineering excellence, and expertise in building scalable analytical syste
ms.This role is not focused on ad hoc analytics, notebook-based experimentation, or model development in isolation. We are seeking engineers who can design, develop, operationalize, and scale statistical and machine learning solutions that solve complex business problems in production environmen
ts.
Key Responsibilit
ies:Build scalable Data Applicat
ionsEngineer Reliable Data Platf
ormsData Platform Architec
turePerformance and Scalabi
lityEngineering Excell
enceSourced from foundit
Section · 02
Skills
Section · Company
About Brillio
Brillio
IT Services & Consulting
3.7k+
employees
2014
12 years old
Dallas, US state of Texas
CU
About
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1,318 reviews
Culture
3.2
Career growth
2.8
Work-life
3.4
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