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Computer Vision Engineer - R&D Job Opening In WorkFromHome – Now Hiring Panoptyc


Job description

Senior Computer Vision Engineer

About The Role

You’ll be the technical force behind our computer vision capabilities, building and optimizing models that power real‑world retail applications.

This role demands someone who can move seamlessly from training custom YOLO architectures to deploying optimized models on edge devices, all while pushing the boundaries of what’s possible in retail computer vision.

What You’ll Do

  • Model Development: Design, train, and iterate on custom object detection models specifically tuned for retail environments, inventory tracking, and product recognition
  • Edge Optimization: Take state‑of‑the‑art models and make them blazingly fast for edge deployment through quantization, pruning, and architectural optimization
  • Dataset Engineering: Build robust data pipelines and annotation workflows to continuously improve model performance on diverse retail scenarios
  • Research & Innovation: Stay ahead of the curve on CV research, prototype new architectures, and determine what’s actually production‑ready versus academic noise
  • Technical Leadership: Mentor engineers, establish best practices for model development, and drive technical decisions around our CV infrastructure
  • LLM Integration: Explore and implement multimodal approaches combining vision and language models for enhanced product understanding and classification

Required Experience

  • 5+ years of hands‑on computer vision engineering, with a proven track record of shipping models to production
  • Deep expertise with YOLO and YOLO‑E architectures – you’ve trained them, tuned them, and know their quirks intimately
  • Edge deployment mastery – experience with TensorRT, ONNX Runtime, or similar frameworks for optimizing models for constrained devices
  • LLM and LLMOps experience – practical knowledge of large language models, fine‑tuning, prompt engineering, and building reliable LLM‑powered systems
  • Strong software engineering fundamentals – clean code, version control, CI/CD for ML, and the ability to build maintainable systems
  • Production ML experience – you understand the difference between a Jupyter notebook and a production‑grade ML system

Preferred Qualifications

  • Experience with retail, inventory management, or similar product‑focused CV applications
  • Background with PyTorch and modern training frameworks
  • Familiarity with synthetic data generation and data augmentation techniquesKnowledge of model versioning, experiment tracking (MLflow, Weights & Biases, etc.)
  • Publications or open‑source contributions in computer vision
  • Experience with AWS solutions like EC2, ECS, Fargate, S3, Bedrock, Sagemaker, etc.

Technical Stack

While we value expertise over specific tools, you’ll likely work with: PyTorch, YOLO variants, TensorRT, ONNX, Docker, Kubernetes, and various MLOps tooling.

Location

Remote

Compensation

Up to $60/hr USD (based on location)

Referrals increase your chances of interviewing at Panoptyc by 2x.

Panoptyc is building the future of retail intelligence.

If you’re ready to tackle hard CV problems at scale, we want to hear from you.

Seniority level

  • Mid‑Senior level

Employment type

  • Full‑time

Job function

  • Engineering and Information Technology

Industries

  • Software Development

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Required Skill Profession

Tecnología De Los Mensajes Y La Información


  • Job Details

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Unlock Your Computer Vision Potential: Insight & Career Growth Guide


Real-time Computer Vision Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Computer Vision in WorkFromHome, Colombia, highlighting market share and opportunities for professionals in Computer Vision roles.

217 Jobs in Colombia
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200 Jobs in Workfromhome
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Download Computer Vision Jobs Trends in Workfromhome and Colombia

Are You Looking for Computer Vision Engineer R&D Job?

Great news! is currently hiring and seeking a Computer Vision Engineer R&D to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Panoptyc adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for Computer Vision Engineer R&D Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Computer Vision Engineer R&D typically include Tecnología De Los Mensajes Y La Información and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Computer Vision Engineer R&D Job Success

Panoptyc interview tips for Computer Vision Engineer   R&D

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Other Openings

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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To prepare for your Computer Vision Engineer R&D interview at Panoptyc, research the company, understand the job requirements, and practice common interview questions.

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