Job Description
Demonstrate proficiency in programming languages such as Python, with working knowledge of AI algorithms and model development, particularly in NLP and LLMs.
Apply knowledge of SQL and ETL design patterns to support data processing and analytics workflows.
Utilize AI development frameworks and tools, including vector databases, LangChain, LangGraph, Retrieval-Augmented Generation (RAG) architectures, and prompt engineering techniques.
Implement multi-agent AI architectures, including orchestration workflows using MCP and A2A protocols.
Apply knowledge of traditional AI/ML algorithms and predictive modeling techniques, including decision trees, regression analysis, neural networks, classification, clustering, and other data mining methods.
Analyze data effectively using strong analytical skills and apply data modeling techniques to transform data using SQL.
Work with APIs, RESTful web services, and data connectors for system integration and data exchange.
Use source code management systems such as GitLab and leverage build tools to support CI/CD pipelines.
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Responsibilities
Eligibility Criteria:
Bachelor’s/ Master’s Degree
Preferred Skills:
Demonstrate experience in Big Data analytics using Azure Cloud and on-premises technologies.
Work with ADLS, Azure Databricks, and Azure Data Factory for data storage, processing, and integration.
About Company:
Cognizant is a global professional services firm that transforms clients business, operating, and technology models for the digital era. Our distinct industry-based, consultative approach assists clients in envisioning, building, and operating more innovative and efficient businesses. Cognizant, headquartered in the United States, is ranked 185 on the Fortune 500 and is consistently ranked among the world’s most admired companies.
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