Científico de Datos Senior - Visión por Computadora e IA

Placements24

Mérida

On-site

EUR 58,000 - 87,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
Health benefits
Professional development
Relocation support

Job summary

Placements24 seeks a Senior Data Scientist focused on Computer Vision to join our Mérida-based team. You will develop cutting-edge CV models, deploy them to production, and collaborate with engineers to deliver real-world AI solutions.

You’ll apply deep learning, image processing, and large datasets expertise while mentoring peers and contributing to research initiatives and knowledge sharing across projects.

Qualifications

  • Ph.D. or Master's degree in Computer Science or AI with CV specialization.
  • 5+ years hands-on experience deploying CV models in production.
  • Proficiency in Python and frameworks like TensorFlow or PyTorch.
  • Strong image processing knowledge and classical CV algorithms.
  • Experience with large datasets and distributed computing.

Responsibilities

  • Develop and deploy state-of-the-art CV models for detection, segmentation, and recognition.
  • Analyze image/video data to extract actionable insights.
  • Design robust data pipelines for training and evaluation.
  • Collaborate with software engineers to integrate models into production.
  • Research new CV techniques and publish findings internally.
  • Mentor junior data scientists and document model performance.

Skills

Python
Deep learning
Computer Vision
TensorFlow
PyTorch
OpenCV
Data pipelines
Cloud platforms
Team mentoring
Research

Education

Masters/PhD in CS/AI

Tools

OpenCV
scikit-image

Job description

Placements24 seeks a Senior Data Scientist focused on Computer Vision to join our Mérida-based team. You will develop cutting-edge CV models, deploy them to production, and collaborate with engineers to deliver real-world AI solutions.

You’ll apply deep learning, image processing, and large datasets expertise while mentoring peers and contributing to research initiatives and knowledge sharing across projects.

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