Data Scientist

2 weeks ago

Warszawa, Mazovia, Czech Republic RemoDevs Full time

Requirements

  • 3–4 years experience with machine learning focused on computer vision tasks like detection and segmentation.
  • Strong skills in PyTorch and Python, familiar with modern CV models and optimization.
  • Practical experience with image/video data preprocessing and quality analysis.
  • Able to train, validate, and deploy ML models in production, comfortable with cloud (AWS/GCP) and Linux environments.
  • Knowledge of MLOps practices for building and monitoring ML pipelines.
  • Good coding standards with clear documentation and peer reviews.
  • Independent, proactive, and fluent in English and Polish.

About Us
We are building next-generation computer vision systems that power real-time understanding of the world through images and video. Our mission is to create scalable, intelligent visual solutions that drive innovation across industries - from autonomous robotics to medical imaging and smart manufacturing.We are a fast-moving, collaborative team that values clean code, thoughtful design, and solving hard problems with practical solutions. If you're passionate about building high-performance CV pipelines that make a real impact, we'd love to meet you.

What You'll Do

  • Design, implement, and optimize computer vision algorithms
  • Train and evaluate deep learning models using PyTorch or TensorFlow.
  • Build scalable image/video processing pipelines - from raw data to real-time predictions.
  • Analyze data quality, perform feature engineering, and run experiments for performance improvement.
  • Prepare ML models for deployment and work closely with engineering teams to integrate them into production.
  • Develop robust MLOps workflows for model training, validation, and monitoring.
  • Write clear technical documentation and participate in code reviews.

Requirements

  • 3–4 years experience with machine learning focused on computer vision tasks like detection and segmentation.
  • Strong skills in PyTorch and Python, familiar with modern CV models and optimization.
  • Practical experience with image/video data preprocessing and quality analysis.
  • Able to train, validate, and deploy ML models in production, comfortable with cloud (AWS/GCP) and Linux environments.
  • Knowledge of MLOps practices for building and monitoring ML pipelines.
  • Good coding standards with clear documentation and peer reviews.
  • Independent, proactive, and fluent in English and Polish.

Nice to Have

  • Knowledge of model optimization
  • Contributions to Kaggle, CVPR/ICCV publications, or open-source projects in CV.

What We Offer

  • Competitive salary based on experience (B2B or employment contract).
  • Flexible working hours and remote-friendly culture.
  • High-end equipment (GPU, multiple monitors, etc.).
  • Learning and development budget (courses, conferences, books).
  • A talented, cross-functional team working on meaningful real-world problems.
,[Design, implement, and optimize computer vision algorithms, Train and evaluate deep learning models using PyTorch or TensorFlow., Build scalable image/video processing pipelines - from raw data to real-time predictions., Analyze data quality, perform feature engineering, and run experiments for performance improvement., Prepare ML models for deployment and work closely with engineering teams to integrate them into production., Develop robust MLOps workflows for model training, validation, and monitoring., Write clear technical documentation and participate in code reviews.] Requirements: Python, PyTorch, Computer vision, Machine learning, MLOps

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