Chief AI Architect

1 day ago

Nagpur, Maharashtra, India beBeeDataScientist Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title

A leading organization is seeking an experienced Artificial Intelligence Engineer to spearhead the development and optimization of AI-driven applications. The ideal candidate will have hands-on experience in deploying, fine-tuning, and integrating Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) architectures to enhance the efficiency and accuracy of AI-powered solutions.

Key Responsibilities:
  • Design, develop, and optimize AI solutions using LLMs (e.g., GPT-4, LLaMA, Falcon) and RAG frameworks.
  • Implement and fine-tune models to improve response relevance and contextual accuracy.
  • Develop pipelines for data retrieval, indexing, and augmentation to improve knowledge grounding.
  • Work with vector databases (e.g., Pinecone, FAISS, Weaviate) to enhance retrieval capabilities.
  • Integrate AI models with enterprise applications and APIs.
  • Optimize model inference for performance and scalability.
  • Collaborate with data scientists, ML engineers, and software developers to align AI models with business objectives.
  • Ensure ethical AI implementation, addressing bias, explainability, and data security.
  • Stay updated with the latest advancements in generative AI, deep learning, and RAG techniques.
Requirements:
  • 8+ years experience in software development according to development standards;
  • Strong experience in training and deploying LLMs using frameworks like Hugging Face Transformers, OpenAI API, or LangChain.
  • Proficiency in Retrieval-Augmented Generation (RAG) techniques and vector search methodologies.
  • Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate.
  • Solid understanding of NLP, deep learning, and transformer architectures.
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, LangChain, etc.).
  • Experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows.
  • Familiarity with containerization (Docker, Kubernetes) for scalable AI deployments.
  • Strong problem-solving and debugging skills.
  • Excellent communication and teamwork abilities
  • Bachelor's or Master's degree in computer science, AI, Machine Learning, or a related field.

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