Machine Learning Engineer (Recommendations)

Lingokids, a global edtech leader, seeks a Machine Learning Engineer to own production recommendation infrastructure and develop advanced personalization algorithms. The role involves building scalable ML pipelines, monitoring model health, and collaborating with data scientists.

• Own and maintain production recommendation infrastructure ensuring reliability and scalability.
• Research and prototype advanced recommendation algorithms (deep learning, contextual bandits, session-based, graph-based).
• Build production-grade ML models and pipelines from prototypes.
• Design scalable infrastructure including serving layer optimization and caching strategies.
• Build and maintain data pipelines in DBT and Databricks.
• Monitor model health, define retraining strategies, and detect drift.
• Collaborate with data scientists to translate insights into engineering decisions.

• Strong Python skills for ML and infrastructure.
• Solid SQL and hands-on DBT experience.
• Hands-on experience deploying and monitoring ML models on AWS (SageMaker, Lambda, ECS, Step Functions).
• Experience building batch ML training and evaluation pipelines.
• Familiarity with advanced recommendation algorithms beyond collaborative filtering.
• Experience with orchestration tools (Airflow, Prefect, Dagster) and CI/CD for ML.
• Scalability and system design mindset.