Machine Learning Engineer
hace 3 semanas
At Nielseniq, we are seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our data science 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 applications, troubleshooting issues with data and applications.
- Develop technical documentation for applications, including diagrams and manuals.
- Work on various software challenges, ensuring a combination of simplicity and maintainability within the code.
- Contribute to architectural designs of large complexity and size, potentially involving multiple software components.
- Mentor other engineers, fostering good engineering practices across the department.
Requirements:
- Bachelor's degree in Computer Science or a 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 like Azure ML.
- Self-driven and good communication skills.
About Nielseniq:
We are the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth.
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