Senior MLOps Engineer

Online Advertising might not be the World's sweetheart, but our mission is to keep the Internet free of charge while respecting data privacy. Probabilistic user matching algorithms are at the center of ID5's core identity solutions. Those algorithms are based on machine learning technologies and we are currently intensifying our engineering strategy in this area by broadening our Data Science team. As a Senior Machine Learning Operations Engineer, you will be a central part of the young team developing, improving, and running this Data Science platform.

Your responsibilities and functions:

• As the owner of the operationalization of our ML and data pipelines you ensure best practices, reliability, and stakeholder satisfaction
• You build and continuously improve the Data Science pipelines over all stages from data ingestion via feature engineering and experimentation to deployment and monitoring
• You collaborate with data scientists and ML engineers to support our products by analyzing models, building pipelines and feedback loops
• You support the internal and external users of our ID matching products in regards to Data Science pipelines

Your qualifications

• Several years of work experience in Machine Learning operations, Cloud Data Engineering or related technologies
• An educational background in Software Engineering, Data Science, Computer Science or similar quantitative field
• Strong knowledge in automation data pipelines and technologies like Java, Python, Spark, Hadoop, Gitlab, and AWS SageMaker
• Enjoys collaborating with others remotely and has excellent communication skills
• Loves learning about new technologies and related tools to introduce to the company to grow the product and development environment
• Comfort working in a small, highly agile, intensely iterative software development process

What we offer to our talent

• Remote working: you can work from anywhere in the world
• A competitive compensation package, including stock options in ID5
• WeWork membership and option to work from different WeWork locations
• Regular offsites to enjoy face-to-face time and to bond further with your colleagues
• A dynamic environment that offers room for growth and development to all employees
• A friendly, international, and multicultural team
• We are proud to be an equal opportunity employer. We celebrate diversity and are passionate about creating an inclusive environment in which all employees can thrive