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Senior Computer Vision & Machine Learning Engineer

Buzz Solutions

United States

On-site

USD 100,000 - 720,000

Full time

8 days ago

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Job summary

A leading company in analytics and maintenance of power grid infrastructure is seeking a Senior Computer Vision & Machine Learning Engineer. You will lead cutting-edge projects to enhance safety and efficiency across power networks, mentoring teams, and driving innovation in your field.

Qualifications

  • 7-10 years of industry experience in computer vision and machine learning.
  • Proven track record of deploying and maintaining ML models.
  • 2-3 years of proven leadership experience of technical teams.

Responsibilities

  • Architect and lead end-to-end computer vision projects.
  • Drive innovation by incorporating the latest advances in deep learning.
  • Mentor team members and establish best practices for model development.

Skills

Deep expertise in modern computer vision
Proficiency in PyTorch
Expertise in deep neural networks

Tools

PyTorch
OpenCV
Scikit-Learn
FastAPI

Job description

Senior Computer Vision & Machine Learning Engineer

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Senior Computer Vision & Machine Learning Engineer

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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.

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.

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Industries
    Food and Beverage Services

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