Chief Large Language Model Architect

20 hours ago

Kollam, Kerala, India beBeeArtificial Full time ₹ 40,00,000 - ₹ 50,00,000

Leading Artificial Intelligence Architect needed to spearhead large-scale AI system development. Responsibilities include architecting end-to-end systems leveraging large language models and generative AI technologies, designing scalable production-ready AI applications that meet business objectives, evaluating and integrating LLM APIs from leading providers, establishing best practices for prompt engineering, model selection, and AI system optimization.

We are seeking a seasoned professional with deep expertise in generative AI and modern MLOps practices who can bridge the gap between business requirements and technical implementation. The ideal candidate will have experience in fine-tuning open-source models for specific business use cases, implementing custom training pipelines and evaluation frameworks, optimizing model performance, latency, and cost for production environments, deploying and managing AI models at enterprise scale using containerization and orchestration, building robust scalable APIs using FastAPI and similar frameworks, and designing and implementing MLOps pipelines for model versioning, monitoring, and continuous deployment.

Candidates should possess excellent technical skills, including proficiency in programming languages such as Python, expertise in machine learning frameworks like TensorFlow or PyTorch, knowledge of data storage solutions such as relational databases or NoSQL databases, and experience with cloud platforms like AWS or GCP. Additionally, candidates should have strong communication and collaboration skills, with the ability to work effectively with cross-functional teams to drive business outcomes.

  • Design and implement end-to-end AI systems leveraging large language models and generative AI technologies
  • Create scalable production-ready AI applications that meet business objectives and performance requirements
  • Evaluate and integrate LLM APIs from leading providers (OpenAI, Anthropic Claude, Google Gemini, etc.)
  • Establish best practices for prompt engineering, model selection, and AI system optimization
  • Fine-tune open-source models (Llama, Mistral, etc.) for specific business use cases
  • Implement custom training pipelines and evaluation frameworks
  • Optimize model performance, latency, and cost for production environments
  • Deploy and manage AI models at enterprise scale using containerization (Docker) and orchestration (Kubernetes)
  • Build robust scalable APIs using FastAPI and similar frameworks
  • Design and implement MLOps pipelines for model versioning, monitoring, and continuous deployment

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