
Chief AI Architect
3 days ago
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.
- 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.
- 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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