2 hours ago
Madrid, SpainSenior
Responsibilities
- Design and implement scalable ML infrastructure for training, deployment, and batch and real-time serving.
- Build and maintain efficient data pipelines for large-scale processing and feature engineering.
- Optimize compute resources and model-serving performance across ML systems.
- Implement monitoring, logging, alerting, and ML operations practices, including CI/CD pipelines.
- Collaborate with ML scientists to streamline model development through production.
- Research and integrate technologies, mentor junior engineers, and communicate technical solutions to diverse stakeholders.
Requirements
- Bachelor’s or master’s degree in Computer Science, Software Engineering, or a related technical field.
- 3+ years of experience in software, data, or machine learning engineering roles.
- Strong problem-solving skills and proficiency in Python.
- Experience with ML frameworks such as TensorFlow or PyTorch.
- Understanding of ML algorithms and model architectures, with experience building scalable and reliable ML systems.
- Exposure to AWS or GCP, Docker, Kubernetes, Spark, and Kafka.
- Familiarity with GitHub Actions, MLflow, and collaborative cross-team work.
Benefits
- Medical, dental, and vision coverage.
- Paid time off, an Employee Assistance Program, wellness reimbursement, and travel reimbursement.
- Travel discounts and International Airlines Travel Agent Network membership.
- Inclusive and accessible recruiting support, including accommodation requests.
- Madrid-based role; compensation and benefits may be subject to location-specific terms and collective agreements.
Tech Stack
Categories
Data EngineeringML Engineering
