5 дней назад
Machine Learning Engineer III (MLOps)
55 500 - 78 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer III (MLOps): Building and operating scalable ML infrastructure, data pipelines, and model-serving systems for ranking, recommendation, and pricing optimization with an accent on deployment, performance, and reliability. Focus on designing training and real-time serving workflows, optimizing compute for low-latency inference, and implementing monitoring, logging, alerting, and CI/CD for production ML systems.
Location: Madrid, Spain
Salary: €55,500–€78,000 total cash annually, with potential pay up to €89,000 based on sustained performance.
Company
is a global travel company operating consumer brands, a B2B travel technology business, and travel advertising offerings.
What you will do
- Design and implement scalable ML infrastructure for training, deployment, and batch and real-time serving.
- Build and maintain large-scale data pipelines and feature engineering workflows.
- Optimize compute resources and model-serving performance for low-latency inference.
- Implement monitoring, logging, alerting, and ML Ops practices, including CI/CD pipelines.
- Collaborate with ML scientists to streamline model development and production workflows.
- Research technologies, mentor junior engineers, and communicate technical solutions to 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.
- Strong problem-solving skills, proficiency in Python, and experience with TensorFlow or PyTorch.
- Understanding of ML algorithms, model architectures, and scalable, reliable ML systems.
- Exposure to AWS or GCP, Docker, Kubernetes, Spark, and Kafka.
- Familiarity with CI/CD tools such as GitHub Actions and model-serving technologies such as MLflow.
Culture & Benefits
- Employee benefits include medical, dental, and vision coverage.
- Paid time off and an Employee Assistance Program.
- Wellness and travel reimbursement, travel discounts, and IATAN membership.
- Inclusive and accessible recruiting experience with accommodation support.
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