AI System Architect

1 day ago

Ghaziabad, Uttar Pradesh, India beBeeArtificialintelligenceengineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

We are seeking an experienced AI leader to drive the development and deployment of large-scale AI solutions.

Key Responsibilities

  • Design, implement and deploy end-to-end AI systems leveraging large language models and generative AI technologies.
  • Develop scalable, production-ready AI applications that meet business objectives and performance requirements.
  • Evaluate and integrate LLM APIs from leading providers.
  • Establish best practices for prompt engineering, model selection, and AI system optimization.
  • Fine-tune open-source models 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 and orchestration.
  • Build robust, scalable APIs using FastAPI and similar frameworks.
  • Design and implement MLOps pipelines for model versioning, monitoring, and continuous deployment.
  • Ensure high availability, security, and performance of AI systems in production.

Business & Technical Leadership

  • Collaborate with stakeholders to understand business problems and translate them into technical requirements.
  • Provide technical guidance and mentorship to development teams.
  • Conduct feasibility assessments and technical due diligence for AI initiatives.
  • Create technical documentation, architectural diagrams, and implementation roadmaps.

Required Qualifications

  • 7+ years of experience in machine learning engineering or data science.
  • Proven track record of delivering large-scale ML solutions.

Technical Skills

  • Expert-level proficiency with LLM APIs.
  • Hands-on experience fine-tuning transformer models.
  • Strong proficiency in FastAPI, Docker, and Kubernetes.
  • Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers).
  • Proficiency in Python and modern software development practices.
  • Experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services.

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