AI solution engineer with ML in real-time pipelines

We are looking for a Lead AI Solution Engineer who brings strong expertise in Machine Learning to architect, launch, and manage production-level ML systems. The ideal candidate works hands-on as a Data Engineer or Machine Learning Engineer, has demonstrated success delivering both real-time and batch ML solutions, possesses solid skills in building streaming pipelines, and brings experience maintaining the scalability and reliability of ML systems once they are live in production.

• 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

• 7+ 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: Exposure to MLflow and established MLOps workflows; Hands-on background with AWS; Prior work in Customer Analytics, Recommendation Systems, or Retail industries

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