AI/Machine Learning Engineer with Databricks

Remote • Posted 2 hours ago • Updated 2 hours ago
Full Time
Remote
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Scalability
  • Databricks
  • PySpark
  • Python
  • SQL
  • Unstructured Data
  • Apache Spark
  • Streaming
  • Real-time
  • Training
  • Machine Learning (ML)
  • English
  • Machine Learning Operations (ML Ops)
  • Amazon Web Services
  • Customer Analysis
  • Retail

Summary

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10330481
  • Position Id: 49acad1fddfde71c3d4e80e77333d6cf
  • Posted 2 hours ago
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