
Machine Learning Engineer
5 days ago
We are looking for a skilled Machine Learning Engineer to join our team at GetInData, part of Xebia. As a key member of our team, you will be responsible for designing and automating machine learning workflows, implementing CI/CD pipelines, ensuring reproducibility, and providing reliable experiment tracking.
The ideal candidate will have strong proficiency in Python with experience in the NumPy, Pandas, and SciPy stack, as well as expertise in writing advanced SQL queries. You should also be comfortable using Git and familiar with containerization technologies like Docker. Experience with Google Cloud Platform (or other cloud services) is a must. Additionally, knowledge of Airflow, Kedro, and Kubernetes is a plus.
Fundamental Responsibilities:
- Designing and automating machine learning workflows
- Implementing CI/CD pipelines
- Ensuring reproducibility
- Providing reliable experiment tracking
Key Responsibilities:
- Collaborate with stakeholders and platform engineers to set up infrastructure required to run MLOps processes efficiently.
- Develop new algorithms and optimize existing ones.
- Add significant pieces of functionality to the application based on user feedback.
- Optimize ML pipelines.
- Take the initiative and propose new approaches.
- Design and architect machine learning workflows/machine learning lifecycle process.
Requirements:
- Python
- NumPy
- Pandas
- SQL
- Git
- Docker
- GCP
- Airflow
- Kedro
- Kubernetes
Benefits:
- Sport subscription
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