Overview

We are seeking a Senior AI Engineer with Databricks to design, deploy, and operate production-grade machine learning systems, with a strong focus on feature engineering, model training, and real-time inference pipelines.

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 with a strong track record of delivery
Required Qualifications:
  • 5+ 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
  • Proven track record of running production-grade ML systems
  • English proficiency at B2 level or higher
Benefits:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to EPAM's internal learning database
  • Free English classes with certified teachers
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)
Nice To Have:
  • Experience with MLflow and MLOps practices
  • Familiarity with AWS
  • Background in Customer Analytics, Recommendation Systems, or Retail
Skills:
  • AI Solution Engineering
  • Databricks
  • MLflow
  • Machine Learning
  • PySpark
  • Spark Streaming
  • Amazon DynamoDB
  • CI/CD
  • Git
  • REST API
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