Chief AI Architect

3 days ago


Ajmer, Rajasthan, India beBeeArtificialintelligence Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Leading AI Innovation

We are seeking an experienced professional to spearhead the design, development, and deployment of large-scale AI solutions.

Key Responsibilities:

  • Design and implement end-to-end AI systems leveraging large language models and generative AI technologies.
  • Evaluate and integrate LLM APIs from leading providers, including OpenAI, Anthropic Claude, and Google Gemini.
  • Establish best practices for prompt engineering, model selection, and AI system optimization.
  • Develop and fine-tune open-source models, such as Llama and Mistral, for specific business use cases.
  • Implement custom training pipelines and evaluation frameworks.
  • Optimize model performance, latency, and cost for production environments.
  • Stay current with the latest model architectures and fine-tuning techniques.
  • 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.
Requirements:
  • 7+ years of experience in machine learning engineering or data science.
  • Proven track record of delivering large-scale ML solutions.
  • Expert-level proficiency with LLM APIs.
  • Hands-on experience fine-tuning transformer models.
  • Strong proficiency in FastAPI, Docker, and Kubernetes.
  • Experience with ML frameworks, Python, and modern software development practices.
  • Experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services.
Favorable Qualifications:
  • Experience with vector databases and retrieval-augmented generation (RAG) systems.
  • Knowledge of distributed training and model parallelization techniques.
  • Experience with model quantization and optimization for edge deployment.
  • Familiarity with AI safety, alignment, and responsible AI practices.
  • Experience in specific domains (finance, healthcare, legal, etc.).
  • Advanced degree in Computer Science, AI/ML, or related field.

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