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Cognizant
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Manager-Data & ML Engg

Manager-Data & ML Engg

Cognizant

5 - 9 years

0 Lacs

chennai all india

Posted:5 days ago| Platform: Shine logo

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Skills Required

data management backend development aiml orchestration generative ai agentic ai rag implementation data pipelines intent detection nlu prompt engineering optimization ai integration

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: You will be responsible for backend development, AI/ML orchestration, and data management, focusing on Generative AI and Agentic AI frameworks. Your main tasks will include building REST APIs, managing data pipelines, and implementing AI/ML solutions like retrieval-augmented generation (RAG) and intent detection models. Key Responsibilities: - Design, develop, and maintain REST APIs using Python for integrating AI/ML services. - Orchestrate AI agents capable of reasoning and planning multi-step tasks by integrating LLMs with APIs and data sources. - Implement and manage machine learning models, large language models (LLMs), and AI orchestration using Python. - Utilize Generative AI models for tasks like text generation, summarization, and conversational AI. - Work with structured and unstructured databases for data management. - Build retrieval-augmented generation (RAG) pipelines leveraging vector databases for contextual responses. - Design and manage data ingestion and transformation pipelines to feed AI models. - Develop intent detection models and NLU solutions to enhance conversational AI. - Create and optimize prompts for LLMs to improve response quality. - Collaborate with frontend and product teams to embed Gen AI features into enterprise applications. Qualifications Required: - Proficiency in Python for building scalable REST APIs and integrating AI services. - Strong expertise in Python, machine learning, large language models (LLMs), and AI orchestration. - Experience in building autonomous AI agents and generative AI models. - Understanding of structured (SQL), graph (CosmosDB), and unstructured (Elasticsearch) databases. - Proven experience with RAG implementation and data pipeline management. - Skilled in intent detection, NLU, and prompt engineering for LLMs. Note: No additional company details were provided in the job description. Role Overview: You will be responsible for backend development, AI/ML orchestration, and data management, focusing on Generative AI and Agentic AI frameworks. Your main tasks will include building REST APIs, managing data pipelines, and implementing AI/ML solutions like retrieval-augmented generation (RAG) and intent detection models. Key Responsibilities: - Design, develop, and maintain REST APIs using Python for integrating AI/ML services. - Orchestrate AI agents capable of reasoning and planning multi-step tasks by integrating LLMs with APIs and data sources. - Implement and manage machine learning models, large language models (LLMs), and AI orchestration using Python. - Utilize Generative AI models for tasks like text generation, summarization, and conversational AI. - Work with structured and unstructured databases for data management. - Build retrieval-augmented generation (RAG) pipelines leveraging vector databases for contextual responses. - Design and manage data ingestion and transformation pipelines to feed AI models. - Develop intent detection models and NLU solutions to enhance conversational AI. - Create and optimize prompts for LLMs to improve response quality. - Collaborate with frontend and product teams to embed Gen AI features into enterprise applications. Qualifications Required: - Proficiency in Python for building scalable REST APIs and integrating AI services. - Strong expertise in Python, machine learning, large language models (LLMs), and AI orchestration. - Experience in building autonomous AI agents and generative AI models. - Understanding of structured (SQL), graph (CosmosDB), and unstructured (Elasticsearch) databases. - Proven experience with RAG implementation and data pipeline management. - Skilled in intent detection, NLU, and prompt engineering for LLMs. Note: No additional company details were provided in the job description.

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Manager-Data & ML Engg