Senior ML Engineer - Construction & Digital Twin

Paradigm

Town of Middleton (WI)

On-site

USD 120,000 - 150,000

Full time

14 days+
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Job summary

Paradigm is a software company in Middleton, Wisconsin seeking a Senior Applied ML Engineer to revolutionize the construction industry. You will design and implement machine learning systems for various applications, integrating your research and engineering expertise to deliver practical AI solutions.

The ideal candidate will have over 5 years of experience in applied ML systems, proficiency in Python, and familiarity with computer vision and NLP technologies. Strong collaboration skills with product managers and engineers are essential to drive measurable business impact.

Qualifications

  • 5+ years of experience designing and deploying applied ML systems at scale.
  • Experience with computer vision and natural language processing techniques.
  • Ability to communicate technical concepts to both technical and non-technical stakeholders.

Responsibilities

  • Develop and optimize models for computer vision and document extraction.
  • Build scalable ML pipelines and backend services.
  • Drive the end-to-end ML lifecycle from training to deployment.

Skills

Applied ML systems
Computer vision
Natural language processing
Python
Machine learning frameworks
ML Ops platforms
Cloud platforms

Education

Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field

Tools

PyTorch
TensorFlow
Hugging Face
MLflow
Kubeflow

Job description

Paradigm is a software company in Middleton, Wisconsin seeking a Senior Applied ML Engineer to revolutionize the construction industry. You will design and implement machine learning systems for various applications, integrating your research and engineering expertise to deliver practical AI solutions.

The ideal candidate will have over 5 years of experience in applied ML systems, proficiency in Python, and familiarity with computer vision and NLP technologies. Strong collaboration skills with product managers and engineers are essential to drive measurable business impact.

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