Lead AI Engineer

About the role

Lead AI Engineer at Egon Zehnder. Design, develop, and deploy ML models using classical algorithms (e.g., regression, decision trees, ensemble methods) and deep learning architectures (CNNs, RNNs.

What you'll do

• Design, develop, and deploy ML models using classical algorithms (e.g., regression, decision trees, ensemble methods) and deep learning architectures (CNNs, RNNs
• Build NLP solutions for tasks such as text classification, entity recognition, summarization, and conversational AI
• Develop and fine-tune GenAI models for use cases like content generation, code synthesis, and personalization
• Architect and implement Retrieval-Augmented Generation (RAG) systems for enhanced contextual AI applications
• Collaborate with data engineers to build scalable data pipelines and feature stores

What you need

• 10–18 yrs of experience
• Machine learning
• SQL
• LLMs
• Python
• Scikit-learn
• NLP
• PhD

Good to have

• MLOps
• AWS
• Statistics
• Airflow
• GCP
• Prompt engineering