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We are seeking a Senior AI Solution Engineer with expertise in Databricks and 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. Responsibilities 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 Requirements 5+ years of experience building, deploying, and operating offline and online feature engineering pipelines Proficiency in Databricks, 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 Nice to have Familiarity with MLflow and MLOps practices Experience with AWS Background in Customer Analytics, Recommendation Systems, or Retail

Senior AI Solution Engineer with Databricks, ML

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