ashby
Senior Applied ML Engineer
Paradigm
Middleton, USA
Full-time
Senior · 5+ years experience
Hybrid
USD 125250-183700 yearly / year
Discovered 1 weeks ago
PythonPyTorchTensorFlowHugging FaceMLflowKubeflow
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PythonPyTorchTensorFlowHugging FaceMLflowKubeflow
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What You Will Do
- 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 of construction data.
- 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, monitoring, and continuous improvement.
- Integrate retrieval, ML, and rules-based methods to deliver reliable, explainable, and supportable features.
- Collaborate closely with product managers, software engineers, and construction domain experts to solve real-world challenges with measurable business impact.
What You Need to Succeed
Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field.
5+ years of experience designing and deploying applied ML systems at scale.
Experience with computer vision (CNNs, object detection, segmentation) and natural language processing (LLMs, embeddings, transformers).
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
Experience with ML Ops platforms and deploying ML systems into production (MLflow, Kubeflow or equivalent).
Experience with APIs, CI/CD pipelines, cloud platforms (AWS/Azure/GCP).
Ability to clearly communicate technical concepts to both engineers and non-technical stakeholders.
Experience applying ML in construction, CAD/BIM, architecture, or digital twin platforms is preferred.
Familiarity with graph-based retrieval, RAG pipelines, or multimodal ML is preferred.
Ready to Join? Apply now at myparadigm.com/careers/
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