AI/Machine Learning Engineer with Databricks

EPAM Systems Inc

  • Atlanta, GA
  • 17 days ago

    Highlights

    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. 3+ years of experience building, deploying, and operating offline and online feature engineering pipelines.

    Numbers & Facts

    LocationAtlanta, GA

    Description

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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

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