Data Engineer - MLOps Engineer
September 25
Description
• 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.
Requirements
• 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.
Benefits
• 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 Now
