Senior AI Engineer – Databricks & Real‑Time ML

About the role

EPAM is looking for a Senior AI Engineer with deep expertise in Databricks to design, deploy and operate production‑grade machine‑learning systems. The role focuses on feature engineering, model training and real‑time inference pipelines for large‑scale data.

Key responsibilities

• Design and optimise batch and real‑time feature engineering pipelines.
• Build, deploy and maintain scalable model training and inference pipelines.
• Process structured and unstructured data at scale using Spark and Spark Streaming.
• Develop streaming solutions for real‑time feature generation and low‑latency model serving.
• Ensure reliability, scalability and performance of ML solutions in production.
• Support batch pipelines for model training and retraining, and operate production ML systems.

Required profile

• 5+ years of experience building, deploying and operating offline and online feature engineering pipelines.
• Strong experience with model training and real‑time inferencing pipelines.
• Proven track record of running production‑grade ML systems.
• English proficiency at B2 level or higher.

Required skills

• Databricks
• Apache Spark / PySpark
• Python
• SQL
• Spark Streaming
• Processing large‑scale unstructured data

What we offer

• Remote work from anywhere in Kyrgyzstan (home or modern office in Bishkek).
• Opportunities to work abroad up to two months per year.
• Relocation options within EPAM’s 55+ country network.
• Corporate events, leadership development, certifications (GCP, Azure, AWS) and unlimited learning resources.
• Medical & family care package, referral bonuses, six trust days per year and psychology session coverage.
• Fitness club discounts and other employee benefits.