AI solution engineer with ML for recommendation systems

We are seeking a Senior AI Solution Engineer with expertise in Machine Learning to design, deploy, and operate production-grade ML systems. The ideal candidate is a hands-on Data Engineer / Machine Learning Engineer with a proven track record of delivering real-time and batch ML solutions, strong capability to build streaming pipelines, and experience ensuring the reliability and scalability of ML systems in production environments.

• Design and optimize feature engineering pipelines for both batch and real-time workloads
• Build, deploy, and maintain scalable model training and inference pipelines
• Process structured and unstructured data at scale
• Develop streaming solutions using Spark Streaming
• Enable real-time feature generation and model serving
• Ensure reliability, scalability, and performance of ML solutions in production
• Support batch pipelines for model training and retraining
• Operate and maintain production ML systems to ensure consistent performance

• 5+ years of experience building, deploying, and operating offline and online feature engineering pipelines
• Proficiency in Spark/PySpark, Python, and SQL
• Expertise in model training and real-time inferencing pipelines
• Experience processing large-scale unstructured data
• Knowledge of Spark Streaming
• Experience with real-time feature generation and low-latency model inference
• Proven track record of running production-grade ML systems
• English proficiency at B2 level or higher
• Будет плюсом: Familiarity with MLflow and MLOps practices; Experience with AWS; Background in Customer Analytics, Recommendation Systems, or Retail

• Условий в вакансии нет