Job Role: AI Engineer
Experience: 5-8 years
Location: Bangalore, India
Type of Employment: Full-time, Hybrid
About Cognizant
Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment.
About CAIL/ Evolutionary AI team (LEAF):
The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Labs mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life.
Your role
You are an experienced data scientist and Python developer with deep experience in multiple technologies; you are driven, curious and passionate about your work; you are innovative, creative and focused on excellence; and you want to be part of an ego-free work environment where we value honest, healthy interactions and collaboration.
Key responsibilities:
Your profile:
Preferred/Highly Desirable Qualifications:
Experience with RESTful services, JSON and XML metadata, Docker containers.
Experience with machine learning, evolutionary algorithms a plus.
Knowledge of and an appreciation for open source projects, design patterns, and enterprise architecture patterns.
Research mindset with experience in publishing research work
Experience in working in IT service, consulting, or client-facing roles
Familiarity with cloud platforms and enterprise AI solution deployment
Continuous learner with demonstrated passion for R&D and think long-term.

Keyskills: data scikit-learn numpy research artificial intelligence tensorflow gcp xml design patterns pytorch keras json sem programming communication skills rest python github microsoft azure jupyter notebook engineering machine learning pandas framework system aws
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