1 day ago
Luxembourg, LuxembourgMid Level
Responsibilities
- Design and implement features across software components powering the product search system.
- Design and deploy scalable pipelines for data processing, model training, and model inference.
- Deploy ML models, integrate them into existing services, and optimize their production performance.
- Build metrics, dashboards, and alerting mechanisms for deployed services and models.
- Collaborate with ML scientists and engineering teams to identify improvements and resolve technical obstacles.
- Coordinate with engineering counterparts and stakeholders across teams.
Requirements
- Bachelor’s degree in computer science or a related quantitative field.
- At least 3 years of professional software development experience.
- At least 1 year of experience building large-scale pipelines for data processing and ML model training or inference.
- Strong coding and problem-solving skills in at least one modern programming language such as Python, Java, or C++.
- General understanding of essential machine learning concepts.
- Experience with the full software development lifecycle, including code reviews, build processes, testing, and deployment.
- Preferred: master’s degree in computer science or a related quantitative field.
- Preferred: professional experience with AWS services such as S3, EC2, Lambda, EMR, or DynamoDB.
- Preferred: experience working in multidisciplinary teams of scientists and engineers.
- Preferred: experience with NLP applications or search/retrieval engines.
- Preferred: fluency in one or more languages other than English.
Benefits
- Opportunities for career growth, development, and mentorship.
- Work on search and recommendation systems serving millions of customers globally.
- Collaborative environment with scientists and engineers and opportunities to contribute to scientific innovation.
- Inclusive culture emphasizing technical excellence, transparency, and long-term ownership.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.