Senior Data Engineer віддалено White Label is seeking a skilled and experienced Senior Data Engineer to join our team Requirements: Proven experience as a Data Engineer or in a similar role, with a focus on ML projects Strong programming skills in Python Knowledge of processes for building Machine Learning pipelines, setting goals for building models and verifying implementation Knowledge of typical artificial intelligence approaches and algorithms (classification trees, neural networks,
Senior Data Engineer
віддалено
White Label is seeking a skilled and experienced Senior Data Engineer to join our team
Requirements:
- Proven experience as a Data Engineer or in a similar role, with a focus on ML projects
- Strong programming skills in Python
- Knowledge of processes for building Machine Learning pipelines, setting goals for building models and verifying implementation
- Knowledge of typical artificial intelligence approaches and algorithms (classification trees, neural networks, Bayesian approach, Reinforcement Learning) and ready-made tools enabling the implementation of typical tasks (e.g. Azure ML)
- Ability to define the flow of data between systems and design the architecture from a logical point of view and collaborate with the IT and DevOps team to define the work
- Knowledge of how to conduct advertising campaigns, principles of operation of DMP/CMP tools and mechanisms introduced by Privacy Sandbox (in particular Protected Audience API)
- English level — minimum B2
Nice to have:
- Knowledge of designing ETL processes and data integration
- Knowledge of the RTB ecosystem
- Experience as MLOps / DevOps / PM
- Experience with Ruby (current system is on Ruby)
- Cooperation with the Management Board
From when:
We offer:
- Work in a multinational team and great domain of new experience
- This is a 100% remote job or on-sight in our offices during CET office hours
- Feel empowered with a friendly team, open-door policy, informal atmosphere within the company, and regular team-building events
- The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services
- A perfect environment for learning and self-development with allowance for educational material