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AI/Machine Learning Engineer with Databricks

Remote in Georgia, & 4 others
AI Solution Engineering
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We are looking for a hands-on AI/Machine Learning Engineer with proven experience deploying and running optimized feature engineering (offline and online), model training, and inference pipelines. Experience with unstructured data processing and Spark Streaming is a must. Real-time feature generation and inference are required for this project, along with batch pipelines for model training.

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
Requirements
  • 3+ 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
  • Experience building and supporting batch pipelines for model training and retraining
  • Proven track record of running production-grade ML systems
  • English proficiency at B2 level or higher
Nice to have
  • Experience with MLflow and MLOps
  • Experience with AWS
  • Background in Customer Analytics, Recommendation Systems, or Retail