onsite
Machine Learning Engineer - Live Recommendation
ML Engineer
Lead the design and deployment of real‑time recommendation models, optimizing algorithms for live user interactions and driving personalized experiences with advanced machine learning techniques.
About the role
Key Responsibilities
- Develop and refine live recommendation models that adapt to real‑time user behavior.
- Optimize algorithms for speed, accuracy, and scalability in a high‑throughput environment.
- Conduct behavior analysis to uncover insights and improve model relevance.
- Collaborate with data scientists and engineers to integrate models into production pipelines.
- Monitor model performance, troubleshoot issues, and iterate on solutions.
Requirements
- Strong background in machine learning, especially in recommendation systems.
- Proficiency in algorithm optimization and classification techniques.
- Experience with large‑scale data processing and real‑time analytics.
- Excellent problem‑solving skills and a data‑driven mindset.
- Effective communication and teamwork abilities.