AI Engineer

3 - 8 years

0 Lacs

Posted:20 hours ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: Join the CAIL/Evolutionary AI team at Cognizant, a rapidly growing Fortune 500 consulting and IT services company with a focus on pioneering scientific innovation in AI. As an AI Engineer, you will play a crucial role in designing, developing, and implementing advanced AI models, focusing on generative AI, agents, and foundation models for enterprise solutions. Your work will involve collaborating with cross-disciplinary teams, contributing to research publications, and actively engaging in open-source communities to enhance decision-making systems. Key Responsibilities: - Be a customer advocate implementing the Neuro AI offering - Design, develop, and implement advanced AI models, focusing on generative AI, agents, and foundation models - Build and maintain AI pipelines, experimentation frameworks, and reusable components for rapid prototyping and scaling - Experiment with multi-agent systems framework to create context-aware, goal-driven agents integrated into workflows - Deliver high-quality software, develop innovative methods, and keep up to date with the latest trends in Evolutionary AI - Collaborate with cross-disciplinary teams to conceptualize and develop AI-based solutions and demos - Contribute to research publications and engage in open-source communities - Assist in preparing internal technical documents and presentations - Work collaboratively in a fast-paced environment with your peers on the Cognizant AI Labs team Qualification Required: - Bachelor's/Master's in Computer Science, Data Science, or related Engineering field with emphasis on AI/EA, software development, and algorithm design - 3+ years of experience in an AI/ML engineering role, preferably in an enterprise, research, or innovation lab setting - Demonstrated experience with AI frameworks like LangChain, HuggingFace, OpenAI, Anthropic, etc. - Strong programming skills in Python and experience with libraries such as Numpy, Pandas, Keras, TensorFlow, PyTorch, Scikit-learn, Jupyter Notebooks, GitHub - Solid understanding of AI agent frameworks and a strong interest in agentic AI research - Experience working in cloud environments for processing big data (AWS, Azure, Google Cloud) - Deep knowledge of relational, structured, semi-structured, and unstructured data systems - Familiarity with modern commercial software development practices - Excellent verbal and written communication skills in English Additional Details: Omit (not present in the provided Job Description),

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Cognizant

IT Services and IT Consulting

Teaneck New Jersey

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