1 day ago
Madrid, SpainSenior
Responsibilities
- Design and implement scalable ML infrastructure for model training, deployment, and serving in batch and real-time environments.
- Build and maintain large-scale data pipelines for processing and feature engineering.
- Optimize compute resources and model-serving performance for scalable, low-latency ML systems.
- Implement monitoring, logging, alerting, and MLOps practices, including CI/CD pipelines.
- Collaborate with ML scientists to streamline model development and production workflows.
- Research and integrate new 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 ML engineering roles is preferred.
- 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 an interest in building scalable and reliable ML systems.
- Exposure to cloud platforms such as AWS or GCP, containerization with Docker or Kubernetes, and scalable data systems such as Spark or Kafka.
- Familiarity with CI/CD tools such as GitHub Actions and ML model-serving technologies such as MLflow.
- Ability to collaborate effectively across teams and adapt to new technologies.
Benefits
- Medical, dental, and vision coverage.
- Paid time off and an Employee Assistance Program.
- Wellness and travel reimbursement.
- Travel discounts and International Airlines Travel Agent Network (IATAN) membership.
- Inclusive and accessible recruiting support, including accommodation assistance for disabilities.
- The position is based in Madrid.
Tech Stack
Apache KafkaApache SparkAWSDockerGitHub ActionsGoogle Cloud PlatformKubernetesMLflowPythonPyTorchTensorFlow
Categories
Data EngineeringML Engineering
About Expedia
Expedia Group builds a global online travel marketplace where consumers book flights, hotels, vacation rentals, cars, and activities, and partners distribute and market inventory across its platform. It monetizes through commissions, merchant/agency models, and advertising via brands including Expedia, Hotels.com, and Vrbo. Founded in 1996 and headquartered in Seattle, the public company (NASDAQ: EXPE) serves travelers and partners in more than 70 countries with B2C, B2B, and ad tech offerings.