Lead AI Engineer
Core
Design, develop, and deploy advanced ML models, NLP solutions, and GenAI systems to solve complex business problems for a global executive search firm.
Role type
Senior IC Lead AI Engineer (Data Science)
Builds
Production ML models, NLP applications, GenAI content/code synthesis tools, and RAG systems
Domain
Executive Search / Human Capital Management / AI & Machine Learning
Deliverable
production ML models | product features
Required skills
Classical Machine Learning, Deep Learning, Natural Language Processing (NLP), Generative AI (GenAI), Python, SQL, MLOps, Distributed Computing, Feature Engineering, Software Engineering
Preferred skills
LLM fine-tuning, Prompt Engineering, GenAI safety frameworks, Consulting/Finance/Healthcare domain experience, Open-source contributions
Technologies
scikit-learn, TensorFlow, PyTorch, Hugging Face, Azure AI Foundry, Azure AI Studio, GPT, LLaMA, LangChain, Vector Databases, MLflow, Airflow, Kubeflow, Azure Copilot Studio, Azure Cognitive Services
Responsibilities
Design and deploy ML models using classical and deep learning architectures; Build NLP solutions for text classification, entity recognition, and conversational AI; Develop and fine-tune GenAI models for content generation and code synthesis; Architect and implement Retrieval-Augmented Generation (RAG) systems; Collaborate with data engineers to build scalable data pipelines and feature stores; Mentor junior data scientists and lead technical initiatives
Seniority
Senior, hands-on IC with leadership potential