Data Engineer, Buddywise

• You have a strong background in Data Engineering or MLOps, with demonstrated experience in designing and implementing data pipelines for Machine Learning applications
• +3 years of experience managing large datasets, with a focus on maintaining data quality. This means you're skilled at spotting and fixing issues to ensure accurate data for training and evaluating models
• Solid experience in automation using tools such as Terraform
• Experience in MLOps practices, including automating model lifecycle management. This involves 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, with a passion for mentoring and knowledge sharing

Desirable

• Develop, implement, and maintain automated data pipelines to support the training of Computer Vision models
• Identify and address data quality issues to ensure reliable inputs for CV model training
• Implementing and managing 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 promptly troubleshoot issues as they arise
• Working closely with ML and backend engineers to ensure seamless integration and optimal performance
• Driving innovation by researching and integrating new technologies into our stack