Full Job Description
We are seeking a Senior AI Engineer with Databricks to design, deploy, and operate production-grade machine learning systems, with a strong focus on feature engineering, model training, and real-time inference pipelines. 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 with a strong track record of delivery Requirements 5+ years of experience building, deploying, and operating offline and online feature engineering pipelines Strong experience with model training and real-time inferencing pipelines Hands-on expertise in Databricks, Spark/PySpark, Python, and SQL Experience processing large-scale unstructured data Strong 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 Experience with MLflow and MLOps practices Familiarity with AWS Background in Customer Analytics, Recommendation Systems, or Retail
