Machine Learning Engineer
hace 3 semanas
As a Machine Learning Engineer at Nielseniq, you will be responsible for designing and implementing scalable infrastructure to deliver AI/ML processes in near real-time. Your expertise in Linux and Docker containers, as well as cloud providers such as Azure, GCP, or AWS, will be essential in ensuring the smooth operation of our systems.
Key Responsibilities:
- Design and implement pipelines for training and deployment of ML models
- Design dashboards to monitor system performance
- Collect metrics and create alerts based on them
- Design and execute performance tests
- Support and maintain (troubleshoot issues with data and applications)
Requirements:
- Bachelor's degree in Computer Science or related field
- Master's degree in data engineering or related
- Demonstrated experience and knowledge in Linux and Docker containers
- Demonstrated experience and knowledge in some of the main cloud providers (Azure, GCP, or AWS)
Preferred Qualifications:
- Demonstrated experience and knowledge in distributed systems
- Proficient in programming languages: Python
- Experience with ML/Ops technologies like Azure ML
Additional Information:
Flexible work model - the Team meets at the office 1 or 2 times a month.
Our Benefits:
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee Assistance Program (EAP)
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