Computer Vision Engineer

New

Skills

Automated ML Pipelines Computer Vision Data Analysis Feature Engineering Git Machine Learning Python PyTorch SQL TensorFlow

Join our team as a Machine Learning Engineer specializing in computer vision, where you will be responsible for designing, training, and deploying advanced computer vision models to production while achieving performance targets. You will own the end-to-end ML pipeline, ensuring seamless integration of machine learning solutions within our products.

Key Responsibilities
  • Design, train, and deploy computer vision models to meet performance targets.
  • Own the end-to-end ML pipeline including data preparation, feature engineering, training, and evaluation.
  • Build automated ML pipelines for efficient training, evaluation, and deployment.
  • Conduct discovery spikes to validate feasibility and inform go/no-go decisions.
  • Integrate ML solutions with observability tooling and benchmarks.
  • Collaborate with software, data engineers, and product stakeholders to integrate ML into CompanyCam.
Required Skills & Qualifications
  • 3+ years of experience shipping ML models to production.
  • Experience with computer vision tasks such as image classification, segmentation, and object detection.
  • Proficiency in Python with frameworks like PyTorch or TensorFlow; familiarity with transformers and CNNs.
  • Strong SQL skills, including joins, subqueries, window functions, and CTEs.
  • Experience in data analysis, cleaning, transformation, and feature engineering.
  • Familiarity with Git, experiment tracking, and ML development best practices.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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