| Location | Atlanta, GA |
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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