Machine Learning Engineer
hace 3 días
At Nielseniq, we're seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our data science infrastructure team, you will be responsible for designing, developing, and managing the infrastructure to release scalable Data Science models.
Key Responsibilities:- Deploy, monitor, and operate production-grade AI systems in a scalable, automated, and repeatable way.
- Create and maintain a scalable infrastructure to deliver AI/ML processes, responding to user requests in near real-time.
- Design and implement pipelines for training and deployment of ML models.
- Design dashboards to monitor systems and collect metrics to create alerts.
- Perform feasibility studies and analysis with a critical point of view.
- Support and maintain data and applications, troubleshooting issues.
- Develop technical documentation for applications, including diagrams and manuals.
- Work on various software challenges, ensuring simplicity and maintainability within the code.
- Contribute to architectural designs of large complexity and size, involving multiple software components.
- Mentor other engineers, fostering good engineering practices across the department.
- Bachelor's degree in Computer Science or related field.
- Master's degree in data engineering or related field.
- Demonstrated experience and knowledge in Linux and Docker containers.
- Demonstrated experience and knowledge in cloud providers (Azure, Google Cloud, or AWS).
- Proficient in programming languages: Python.
- Experience with ML/Ops technologies, AI/ML frameworks, and CICD pipelines.
- Experience designing monitoring dashboards and container orchestrators.
- Problem-solving capabilities, strong analytical and logical thinking, and proactive attitude.
We offer a flexible work model, with the team meeting at the office 1-2 times a month. Our benefits include a flexible working environment, volunteer time off, LinkedIn Learning, and an Employee-Assistance-Program (EAP).
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