ML Engineer

MS/PhD in Computer Science, Machine Learning, Artificial Intelligence or a related field
5+ years of experience in machine learning, with a focus on building production-ready systems
Proficiency in Python and strong experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch
Experience in deploying and scaling AI/ML models using cloud services such as AWS or GCP
Strong expertise in agent architectures, reinforcement learning, or other systems built on top of LLMs
Familiarity with retrieval-augmented generation (RAG) techniques and integration of external knowledge bases or APIs into AI agents
Experience with search and retrieval systems, including vector embeddings, graph databases, and elasticsearch
Interest in the construction industry

Develop and deploy AI agents to solve real-world problems in the construction industry
Design and implement robust systems that incorporate human-in-the-loop and other feedback mechanism to enhance AI agent decision-making and ensure reliable interaction
Create and optimize pipelines for model deployment, monitoring, and scaling in production environments
Identify and model relationships between entities within and across different document types
Enhance retrieval-augmented generation (RAG) systems for context-aware AI agent responses
Design and conduct experiments to evaluate and improve model / agent performance and robustness in real-world scenarios
Stay updated with the latest advancements in LLMs, reinforcement learning, agentic workflows and multi-modal systems to enhance AI agent performance

Bonus: Specialized expertise with Natural Language Processing, Computer Vision, Speech Processing, or another focus
Bonus: Experience with training or fine-tuning proprietary algorithms