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JD for the Gen AI engineer Python
GenAI engineer P3 preferred offshore
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LTIMindtree is a global technology consulting and digital solutions LTIMindtree company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by more than 90,000 talented and entrepreneurial professionals across 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile L&T Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale.
For more, please visit www.ltimindtree.com.
Job ID: 104666557
Skills:
Kafka, Distributed Systems, Flask, Python, AWS, MLops, Gcp, FastAPI, Azure, embeddings, async processing workflows, ADK, vector databases, Claude, Azure OpenAI, CI CD, LangGraph, Agentic frameworks, RAG pipelines, LangChain, Generative AI, LLMs, LLMOps, cloud platforms, OpenAI
Skills:
Machine Learning, Tensorflow, Numpy, Pytorch, XGBoost, Python, Scipy, Data structures, Deep Learning, Api Development, Algorithms, MLops, Pandas, LLM architectures, NLP techniques, LangChain, Generative AI, LightGBM, Scikit-learn, Object-oriented programming, Scientific Computing, Advanced Chatbot Architectures, RAG, Transformers, Fine-tuning LLMs, Prompt Engineering
Skills:
Retrieval-Augmented Generation (RAG), Python, Api Integration, Machine Learning, Generative AI, Large Language Models, Agentic AI Workflows
Skills:
AI ML, Data Science, Solution Delivery, LangGraph, LLMOps Practices, End-to-End Implementation, LangChain, CrewAI, Multi-Agent orchestration, Agentic AI, Mistral, RAG-based Systems, Generative AI
Skills:
Data Security, Tensorflow, Pytorch, Python, similarity search, embeddings, governance principles, LLMs, Hugging Face, vector databases, Pinecone, cloud environments, Chroma, retrieval strategies, FAISS, ML frameworks, Weaviate, RAG architectures
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