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Large Language Model Architect (Telangana)

Accenture · Hyderabad

📅 06/08/2026
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Project Role Large Language Model Architect Project Role Description Architect large language models LLM that can process and generate natural language Design neural network parameters trained on large quantities of unlabeled text data Must have skills Python Programming Language Good to have skills NA Minimum 7 5 year s of experience is required Educational Qualification 15 years full time education Summary We are looking for an experienced and highly skilled Python Gen AI Full Stack Engineer with 8-10 years of professional experience in software engineering specializing in machine learning large language models LLMs and generative AI technologies The ideal candidate will possess deep technical expertise in Python front-end and back-end development end-to-end AI ML solution design and large-scale model deployment The role requires strong problem-solving abilities architectural vision and hands-on experience with state-of-the-art Gen AI tools and frameworks Roles Responsibilities 1 Design develop and maintain scalable AI-driven applications using Python and front-end technologies 2 Architect and implement full-stack solutions integrating LLMs and generative AI capabilities 3 Build and fine-tune large language models OpenAI Hugging Face Transformers etc for various enterprise applications 4 Collaborate with data scientists and product teams to define AI use cases prototypes and production-grade deployments 5 Integrate APIs and develop microservices to enable LLM-based features in web applications 6 Manage model lifecycle including training evaluation versioning and deployment 7 Implement best practices for data preprocessing vector databases embeddings and prompt engineering 8 Ensure performance scalability and security of AI applications 9 Stay current with Gen AI trends research and emerging tools in the AI ML ecosystem 10 Conduct code reviews mentor junior developers and contribute to technical documentation and architecture planning Professional Technical Skills 1 Languages Frameworks Expert in Python Rapid API Flask Django Proficient in HTML CSS JavaScript React or Vue js 2 Machine Learning Deep Learning Strong understanding of supervised unsupervised learning model training feature engineering PyTorch TensorFlow Generative AI LLMs 3 Hands-on experience with OpenAI API Lang Chain Hugging Face Transformers and Retrieval-Augmented Generation RAG 4 Proficient in prompt engineering embeddings e g FAISS Pinecone and vector stores 5 Experience in fine-tuning LLMs and integrating them into enterprise applications 6 DevOps Deployment Docker Kubernetes CI CD pipelines REST APIs Git 7 Data Technologies Pandas NumPy SQL NoSQL MongoDB Redis data pipelines 8 Cloud Platforms Azure AWS or GCP for model training serving and scalable infrastructure 9 MLOps Tools MLflow Weights Biases or similar platforms for model monitoring and experimentation tracking Software Development Best Practices Agile methodologies unit testing TDD code versioning architectural design patterns Additional Information 1 bachelor s or master s degree in computer science 15 years full time education .
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