Advanced AI Model Developer

1 day ago

Malappuram, Kerala, India beBeeArtificial Full time US$ 80,000 - US$ 1,50,000
Lead AI Modeler Position

We are seeking an accomplished professional with expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). The ideal candidate will have hands-on experience deploying, fine-tuning, and integrating LLMs with RAG architectures to enhance the efficiency and accuracy of AI-driven solutions.

  • Key Responsibilities:
  • Design, develop, and optimize AI models using LLMs and RAG frameworks.
  • Model Implementation and Optimization:
  • Implement and fine-tune models to improve response relevance and contextual accuracy.
  • Develop pipelines for data retrieval, indexing, and augmentation to improve knowledge grounding.
  • Database Integration:
  • Work with vector databases to enhance retrieval capabilities.
  • Integration and Optimization:
  • Integrate AI models with enterprise applications and APIs.
  • Optimize model inference for performance and scalability.
  • Collaboration and Ethics:
  • Collaborate with cross-functional teams to align AI models with business objectives.
  • Ensure ethical AI implementation, addressing bias, explainability, and data security.
  • Staying Updated:
  • Stay updated with the latest advancements in generative AI, deep learning, and RAG techniques.
Requirements:
  • 8+ years experience in software development according to industry standards;
  • Strong experience in training and deploying LLMs using frameworks like Hugging Face Transformers or OpenAI API.
  • 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, 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.
Benefits:
  • Competitive compensation, supportive team, and flexible work environment.
  • Gain experience in scaling an operationally heavy tech service.
  • Help shape a new offering that bridges offline retail with online presence.
  • Be a foundational team member alongside Product and QA.

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