Talantix.io
Bright Vision Technologies•08.02.26
AI SCORE 8.5

Mid-Level Computer Vision Engineer - Remote Opportunity

$100K–$130K/year
RemoteAI/Big DataVisa
Python•OpenCV•TensorFlow•PyTorch•Image Processing•Deep Learning•CNNs•Object Detection•Image Segmentation•Model Training•Cloud Platforms•Docker•Kubernetes•Linux•Git

About the Role

We are seeking a talented Computer Vision Engineer to join our team at Bright Vision Technologies. This remote position offers an exciting opportunity to work with cutting-edge technologies in the field of computer vision and deep learning. You will be part of a dynamic team dedicated to transforming business processes through innovative visual intelligence solutions.

What You'll Do

  • Develop and optimize computer vision algorithms for various applications, including object detection, image segmentation, and tracking.
  • Utilize frameworks such as TensorFlow and PyTorch to build and deploy machine learning models.
  • Collaborate with cross-functional teams to integrate computer vision solutions into existing systems.
  • Conduct coding tests and participate in code reviews to ensure high-quality deliverables.
  • Stay updated with the latest advancements in computer vision and deep learning technologies.

Requirements

  • 3-5 years of experience as a Computer Vision Engineer or in a similar role.
  • Proficiency in Python and libraries such as OpenCV, TensorFlow, and PyTorch.
  • Experience with image and video processing techniques.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
  • Strong problem-solving skills and ability to work independently in a remote environment.

Nice to Have

  • Experience with RESTful APIs and Agile methodologies.
  • Knowledge of data annotation pipelines and model training optimization.
  • Familiarity with Linux and Git.

What We Offer

  • Competitive salary ranging from $100,000 to $130,000 per year.
  • Opportunity for H-1B sponsorship for qualified candidates.
  • Flexible remote work environment.
  • Career growth potential in a well-respected organization.
  • Inclusive workplace culture that values diversity and equal opportunity.
Why This Job8.5 of 10

This Computer Vision Engineer role offers a unique opportunity to work remotely with a competitive salary and career growth potential in a leading AI company.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in Python and experienced in utilizing libraries such as OpenCV and TensorFlow for real-time image processing and deep learning applications.

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Strong self-motivation and discipline to thrive in a fully remote work environment, with the ability to manage time effectively and meet project deadlines independently.

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Hands-on experience with CNNs and object detection techniques, combined with a proactive mindset to experiment with and optimize model training workflows.

Learning Resources

→OpenCV Python Tutorialsguide
→Deep Learning with PyTorch: A 60 Minute Blitzguide
→Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learningcourse

Career Path

Mid-Level Computer Vision Engineer(Now)→Senior Computer Vision Engineer(1-2 years)→Lead Computer Vision Engineer or Technical Architect(3-5 years)

Market Overview

Market Size 2024
$25B
Annual Growth
18.5%
AI Adoption
75%
Investment
+150%
Labour Demand
+40%
Avg Salary
$120K

Skills & Requirements

Required
PythonOpenCVTensorFlow
Growing in Demand
Machine LearningData AugmentationTransfer Learning
Declining
Traditional Image Processing TechniquesBasic Neural Networks

Domain Trends

Increased Use of Pre-trained Models
Pre-trained models are gaining traction, with 60% of companies adopting them to speed up development cycles.
Shift Towards Edge Computing
The demand for computer vision applications on edge devices is expected to grow by 45% by 2025, driven by IoT advancements.
Integration of Explainable AI
Over 50% of organizations are investing in explainable AI to enhance transparency in computer vision systems, reflecting a shift towards accountability.

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