Senior Computer Vision & Machine Learning Engineer

Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

7-10 years of industry experience in computer vision and machine learning., Deep expertise in modern computer vision techniques such as object detection and image classification., Proven track record of deploying and maintaining ML models in production environments., Expert proficiency in PyTorch, OpenCV, and strong software engineering skills..

Key responsibilities:

  • Architect and lead end-to-end computer vision projects for equipment defect detection and anomaly identification.
  • Drive innovation by incorporating advances in deep learning to enhance model training and accuracy.
  • Develop production-grade Python libraries for the complete ML lifecycle and mentor team members.
  • Advocate for software quality standards within the ML team and establish best practices for model development.

Buzz Solutions logo
Buzz Solutions Utilities (Electric, gas & water) Startup https://buzzsolutions.co/
11 - 50 Employees
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Job description

Job Description 

 

Buzz is revolutionizing the analytics and maintenance of power grid infrastructure through our advanced AI solutions. Our computer vision systems analyze critical infrastructure to enhance safety, reliability, and operational efficiency across the power grid network. We're seeking an experienced Machine Learning Engineer to help lead our computer vision initiatives. You'll drive the development of cutting-edge models for power grid analysis and provide a leadership anchor on a team of talented ML engineers.

 

Responsibilities

 

  • Architect and lead end-to-end computer vision projects focused on: Equipment defect detection, Thermal anomaly identification, Vegetation encroachment monitoring, Surveillance of closed areas for human and animal intrusions
  • Drive innovation by incorporating the latest advances in deep learning and generative AI to enhance model training, accuracy and reliability
  • Develop production-grade Python libraries for the complete ML lifecycle
  • Mentor team members and establish best practices for model development, evaluation, deployment, and monitoring
  • Advocate for and uphold software quality standards within the ML team

 

Qualifications & Experience

 

  • 7-10 years of industry experience in computer vision and machine learning
  • Deep expertise in modern computer vision and deep neural networks including: Object detection, Semantic segmentation, Image classification, Similarity search, Vision language models
  • Proven track record of deploying and maintaining ML models in production
  • Expert proficiency in PyTorch, Lightning, OpenCV, and Scikit-Learn
  • Proficiency in FastAPI and Pydantic
  • Strong software engineering foundation including: Git version control, Test driven development (Pytest), CI/CD, ML devops, Python type hinting
  • 2-3 years of proven leadership experience of technical teams

 

Desired Additional Experience

  • Multi-modal computer vision 
  • Custom object detection model development
  • Generative models for data augmentation
  • ML deployment on edge devices
  • Extracting measurements from GIS and/or drone metadata enriched imagery
  • Model quantization
  • Systematic hyperparameter tuning

 

Additional information:

  • This position does not include sponsorship for United States work authorization.

Required profile

Experience

Industry :
Utilities (Electric, gas & water)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Mentorship
  • Leadership

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