September 25
• Play a pivotal role building and automating customer go-live cycle. • Build and maintain model data pipeline and automate Computer Vision model life cycle. • Develop, implement, and maintain automated data pipelines to support training of Computer Vision models. • Identify and address data quality issues. • Implement and manage CI/CD machine learning pipelines for training, evaluating, and deploying ML models. • Manage cloud infrastructure components necessary for data processing, model training, evaluation, and deployment. • Establish monitoring mechanisms to track pipeline performance and troubleshoot issues. • Work closely with ML and backend engineers.
• Strong background in Data Engineering or MLOps. • +3 years of experience managing large datasets, with a focus on maintaining data quality. • Solid experience in automation using tools such as Terraform. • Experience in MLOps practices. • Proficiency in CI/CD methodologies, workflow orchestration tools like Apache Airflow, Prefect, or GitHub Actions, and cloud services such as AWS or Azure. • Excellent communication skills. • Experience with image visualization tools and analysis as well as data selection techniques is a BONUS. • Experience with PyTorch/TensorFlow is a BONUS.
• Significant autonomy in a rapidly growing startup. • Remote work flexibility with a focus on results over desk time. • Share options in an early-stage, promising company. • A committed team environment where your growth is a top priority. • Opportunity to be part of reshaping industrial safety in Europe during a period of rapid growth.
Apply NowSeptember 17
Develop scalable Big Data solutions for smartclip's TV data applications.
July 24
Technical conception of large transformation projects in the public sector focused on data migration.