Hybrid Real-Time ML Engineer for Hyperspectral Imaging

Hybrid Real-Time ML Engineer for Hyperspectral Imaging

Full-Time 90000 - 110000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and deploy real-time ML models for hyperspectral data analysis.
  • Company: Join P&P Optica, a leader in innovative imaging technology.
  • Benefits: Enjoy a hybrid work environment with competitive salary and growth opportunities.
  • Other info: Collaborative Agile environment with a focus on continuous improvement.
  • Why this job: Make an impact in cutting-edge ML applications while working with a dynamic team.
  • Qualifications: 3+ years in software development, strong Python skills, and ML framework experience.

The predicted salary is between 90000 - 110000 $ per year.

P&P Optica is seeking a rigorous Machine Learning Developer to join our software team in a hybrid Waterloo, Ontario setting.

You will design, train, and deploy real-time ML models that analyze hyperspectral data on production lines.

The role blends software engineering with ML, requiring strong Python, ML framework experience, and a delivery-focused mindset. 3+ years in software development with ML, experience in Agile, and familiarity with CI/CD pipelines are essential.

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Hybrid Real-Time ML Engineer for Hyperspectral Imaging employer: P&P Optica

P&P Optica is an exceptional employer that fosters a culture of openness, collaboration, and continuous learning, making it an ideal place for a Senior Software Developer to thrive. Located in Waterloo, Ontario, the company offers a hybrid work model, competitive health benefits, and ample opportunities for professional growth while tackling meaningful challenges in the food industry. With a commitment to diversity and employee well-being, PPO ensures that every team member feels valued and empowered to contribute to innovative solutions that impact global food safety and quality.

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Contact Details:

P&P Optica Recruitment Team

We think you need these skills to ace Hybrid Real-Time ML Engineer for Hyperspectral Imaging

Machine Learning
Python
ML Framework Experience
Software Development
Agile Methodologies
CI/CD Pipelines
Real-Time ML Model Deployment