Data Science Infrastructure Engineer
hace 2 semanas
We are seeking a highly skilled Data Science Infrastructure Engineer to join our team at Nielseniq. As a key member of our data engineering team, you will be responsible for designing, developing, and managing the infrastructure to release scalable Data Science models.
The ideal candidate will have a strong background in Linux and Docker containers, as well as experience with cloud providers such as Azure, GCP, or AWS. You will also be proficient in programming languages such as Python and have experience with ML/Ops technologies like Azure ML.
Responsibilities:
- Design and implement scalable data infrastructure to support AI/ML workloads
- Develop and maintain CICD pipelines for automation
- Collaborate with data scientists to ensure technical compatibility and user satisfaction
- Work closely with the team to design and implement monitoring dashboards and performance tests
Requirements:
- Bachelor's degree in Computer Science or related field
- Master's degree in data engineering or related field (preferred)
- Demonstrated experience and knowledge in Linux and Docker containers
- Demonstrated experience and knowledge in cloud providers (Azure, GCP, or AWS)
- Proficient in programming languages (Python)
- Experience with ML/Ops technologies (Azure ML)
- Strong problem-solving capabilities and analytical thinking
We offer a flexible work model, volunteer time off, and a range of benefits to support your well-being and career growth. If you are passionate about data engineering and AI/ML, we encourage you to apply for this exciting opportunity.
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