Data Engineer / MLOps Engineer

Do you want to work with leading-edge technologies and literally have a chance to save someone’s life while doing it? Do you get excited thinking about how Computer Vision can help people avoid serious injuries? Join Buddywise as a Data Engineer / MLOps Engineer!

Who are we?

Buddywise is a startup founded by experts in Safety and Computer Science and backed by highly respected industry leaders and VC’s. Our vision is to improve and automate industrial safety monitoring and risk mitigation by utilizing computer vision and machine learning. We are a software company that understands the value of bringing technology to those who can really benefit from it. We are a growing team of driven people on a mission. If you thrive in a high-pace, high-responsibility, and open environment and want to make the workplaces safer than ever, Buddywise is the place for you.

As a Data Engineer / MLOps Engineer, you will play a pivotal role building and automating our customer go-live cycle. Your primary responsibility will be to build and maintain our model data pipeline but you will also be setting up the infrastructure to automate the Computer Vision model life cycle. Your responsibilities will be the following:

• 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.
  
  

Who are you?

You have a strong background in Data Engineering or MLOps, with demonstrated experience in designing and implementing data pipelines for Machine Learning applications. Experience working with Computer Vision applications is a BONUS. You also have:

• +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.
• Experience with image visualization tools and analysis as well as data selection techniques is a BONUS.
• Experience with PyTorch/TensorFlow is a BONUS.
  
  

What We Offer:

• 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.
  
  

Join us and be a part of reshaping industrial safety with Buddywise! 🚀