Senior Machine Learning Engineer (Recommendation Systems)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Machine Learning Engineer (Recommendation Systems): Designing and maintaining production-grade recommendation and ranking systems for consumer-scale platforms with an accent on end-to-end ML pipeline ownership and performance optimization. Focus on building scalable retrieval models, conducting A/B testing, and ensuring low-latency inference in cloud environments.
Location: Remote (Global)
Company
is a remote-first startup specializing in Big Data, custom AI solutions, and scalable machine learning infrastructure for retail and e-commerce.
What you will do
- Design, build, and maintain production recommendation systems at consumer scale.
- Develop ranking and retrieval models to enhance 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 execute A/B tests to optimize performance.
- Improve the reliability, scalability, and latency of production ML systems on cloud platforms.
Requirements
- 6+ years of experience in Software/Data Engineering or ML roles.
- 4+ years building and operating ML systems in production.
- 2-3+ years of experience with recommendation systems, ranking, or retrieval.
- Strong proficiency in Python, SQL, and deep learning frameworks like PyTorch or TensorFlow.
- Experience deploying ML systems on AWS, GCP, or Azure.
- Advanced English proficiency and ability to work autonomously with stakeholders.
Nice to have
- Experience in e-commerce, adtech, or martech domains.
- Familiarity with feature stores, Spark, or low-latency inference systems.
Culture & Benefits
- Remote-first culture with global flexibility.
- Fully covered certifications for AWS, Google Cloud, Azure, and Databricks.
- In-company English lessons.
- Birthday off plus an extra vacation week (Mutt Week).
- Monthly credits via Maslow benefits marketplace.
- Annual team trip.
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