about 2 hours ago
Amsterdam, NetherlandsMid Level / Senior
H1B Sponsor
Responsibilities
- Develop and maintain production ML pipelines for data ingestion, training, validation, and deployment.
- Identify and fix performance bottlenecks in ML training and inference.
- Collaborate with software engineers to integrate ML solutions into products and services.
- Work with data scientists to transition research prototypes into scalable solutions.
- Collaborate with MLOps and platform teams to integrate effectively with current tools.
- Support and encourage good engineering practices on product ML teams.
Requirements
- 5+ years of experience as an engineer in the machine learning domain.
- Strong Python programming skills.
- Experience with the full machine learning model lifecycle in production flows.
- Experience leveraging big data to create pipelines for model data.
- Strong understanding of software engineering, data engineering, and MLOps principles.
- Knowledge of data science, statistics, and machine learning techniques.
- Familiarity with standard data science tools in Python, such as Tensorflow, PyTorch, and MLFlow.
- Experience with ML infrastructure components like k8s and docker.
- An experimental mindset with a fast launch and iterate mentality.
- Proactive leadership in projects from ideation to deployment.
Tech Stack
Apache AirflowApache SparkDockerGrafanaKubernetesLightGBMMLflowPandasPrometheusPythonPyTorchSQLTensorFlowXGBoost