Senior AI Specialist

3 days ago

Ellore, Andhra Pradesh, India beBeeArtificial Full time ₹ 18,00,000 - ₹ 21,60,000

We're seeking an experienced Senior AI Engineer to craft and refine AI-driven applications. This 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:
  • Create and optimize AI solutions using LLMs (e.g., GPT-4, LLaMA, Falcon) and RAG frameworks to elevate AI solution performance.
  • Enhance response relevance and contextual accuracy by implementing and fine-tuning models.
  • Construct pipelines for data retrieval, indexing, and augmentation to improve knowledge grounding.
  • Leverage vector databases (e.g., Pinecone, FAISS, Weaviate) to boost retrieval capabilities.
  • Seamlessly integrate AI models with enterprise applications and APIs while optimizing model inference for performance and scalability.
  • Work closely with cross-functional teams and ensure ethical AI implementation addressing bias, explainability, and data security.
  • Stay abreast of the latest advancements in generative AI, deep learning, and RAG techniques.
Requirements:
  • 8+ years of software development experience according to industry standards;
  • Strong background in training and deploying LLMs using 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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