Senior Applied ML Engineer

Responsibilities

• Develop and optimize CNN and LLM-powered models for computer vision, document extraction, and automated construction workflows
• Prototype, fine-tune, and assess models for NLP tasks such as classification, entity recognition, and summarization
• Build scalable ML pipelines and backend services that integrate into production-grade agents and digital platforms
• Drive the end-to-end ML lifecycle from experimentation and training to deployment and monitoring
• Integrate retrieval, ML, and rules-based methods to deliver reliable and explainable features
• Collaborate with product managers, software engineers, and domain experts to solve real-world challenges

Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field
• 5+ years of experience designing and deploying applied ML systems at scale
• Experience with computer vision (CNNs, object detection, segmentation) and NLP (LLMs, embeddings, transformers)
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face
• Experience with ML Ops platforms (MLflow, Kubeflow, or equivalent)
• Experience with APIs, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP)
• Ability to communicate technical concepts to both engineers and non-technical stakeholders

Preferred Qualifications

• Experience applying ML in construction, CAD/BIM, architecture, or digital twin platforms
• Familiarity with graph-based retrieval, RAG pipelines, or multimodal ML

About the Company

Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe.