Machine Learning Engineer Specialist – Recommendation Systems
New
ArgentinaFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Advanced English
- Experience
- 6 years of experience in Software/Data Engineering or ML roles.
- Required Skills
- AWSPythonSQLGCPPyTorchAzureSparkTensorflowA/B testing
Requirements
- 6 years of experience in Software/Data Engineering or ML roles.
- 4+ years building and operating ML systems in production.
- 2-3+ years working on recommendation systems, ranking, retrieval, or personalization.
- Strong Python and SQL skills.
- Experience with PyTorch or TensorFlow.
- Experience deploying ML systems on AWS, GCP, or Azure.
- Experience working with large-scale consumer data and production environments.
- Advanced English level.
- Experience in e-commerce, adtech, martech, or consumer products.
- Experience with A/B testing, feature stores, Spark, or low-latency inference systems.
Responsibilities
- Design, build, and maintain production recommendation systems at consumer scale.
- Develop ranking and retrieval models to improve personalization and user experience.
- Own ML pipelines end-to-end, from feature engineering and training to deployment and monitoring.
- Collaborate with client stakeholders and engineering teams to deliver scalable ML solutions.
- Analyze large-scale user behavior data and run A/B tests to optimize recommendation performance.
- Improve reliability, scalability, and latency of production ML systems on AWS/GCP/Azure.
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