Lead AI Solution Engineer with Databricks, ML

We are looking for a Lead AI Solution Engineer who brings strong expertise in Databricks and 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. 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 7+ 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 Exposure to MLflow and established MLOps workflows Hands-on background with AWS Prior work in Customer Analytics, Recommendation Systems, or Retail industries