Machine Learning Engineer III
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Match lockedAbout the role
In this role, you will
- Design and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environments.
- Build and maintain efficient data pipelines for large-scale processing and feature engineering.
- Optimize compute resources and improve model serving performance across ML systems.
- Implement robust monitoring, logging, and alerting systems, and contribute to ML Ops practices including CI/CD pipelines.
- Collaborate closely with ML scientists to streamline the model development-to-production workflow.
- Research and integrate new technologies, mentor junior engineers, and communicate technical solutions to diverse stakeholders.
Experience and qualifications
- You hold a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
- You have 3+ years of experience in Software, Data, or ML engineering roles (preferred).
- You bring strong problem-solving skills, proficiency in Python, and experience with ML frameworks like TensorFlow or PyTorch.
- You understand ML algorithms, model architectures, and enjoy building scalable, reliable ML systems.
- You have exposure to cloud platforms (e.g., AWS, GCP), containerization (Docker, Kubernetes), and scalable data systems (e.g., Spark, Kafka).
- You are familiar with CI/CD tools (e.g., GitHub Actions), ML model serving technologies (e.g., MLflow), and collaborate well across teams.
The total cash range for this position in Madrid is €55,500.00 to €78,000.00. Employees in this role have the potential to increase their pay up to €89,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.
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Who can apply
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