A Tenth Revolution Group Company

Ref: 81123JS


Poland, Wrocław

Job description




Are you prepared to join a groundbreaking initiative aimed at revolutionizing traffic systems through state-of-the-art technology?

  • At least 3 years of hands-on experience in MLOps, specializing in computer vision applications, with expertise in ML model development, deployment, and monitoring.

  • Proficiency in Python is essential.
  • Practical experience with ML pipeline tools like Kubeflow, MLflow, TFX, and Airflow is required.
  • Familiarity with popular libraries such as Pytorch, OpenCV, and TensorFlow is expected.

Data Handling:
  • Proficient in managing large-scale datasets for computer vision tasks.
  • Proven ability to develop auto-annotation tools for visual data.

  • Previous experience collaborating with both internal and external data annotation services is a must.

Nice to Have:
  • Knowledge of active learning, semi-supervised learning, and similar approaches for visual data analysis.
  • Demonstrated expertise in MLOps best practices and automation.
  • General understanding of DL model development and deployment on embedded platforms and cloud solutions.
  • Experience with multi-task and semi-supervised DL model training on video data.
  • Proven track record in industry experience or publications in relevant conferences.
  • Proficiency in additional languages is a plus.

  • Design and develop cutting-edge data scanners and auto-annotation engines to optimize computer vision datasets.
  • Collaborate closely with data annotation teams to enhance the production of high-quality datasets.
  • Take the lead in creating, deploying, and automating ML pipelines for efficient model training and deployment.
  • Continuously monitor model performance and effectively manage model and dataset versioning to ensure operational efficiency.
  • Participate in the entire development lifecycle, from problem definition to model design, deployment, and ongoing improvement.