AI/Machine Learning Engineer with Databricks

About the role

EPAM is seeking a hands‑on AI/Machine Learning Engineer to design, build and operate feature engineering, model training and inference pipelines. The role focuses on both batch and real‑time workloads, processing large‑scale structured and unstructured data.

Key responsibilities

• Design and optimise feature engineering pipelines for offline and online use cases.
• Develop, deploy and maintain scalable model training and low‑latency inference pipelines.
• Process structured and unstructured data at scale using Spark Streaming and Databricks.
• Ensure reliability, scalability and performance of production ML systems.

Required profile

• 3+ years of experience building and operating offline and online feature pipelines.
• Strong background in real‑time feature generation and low‑latency model serving.
• Proven track record of running production‑grade ML solutions.
• English proficiency at B2 level or higher.

Required skills

• Databricks, Spark/PySpark, Spark Streaming
• Python, SQL
• Experience with large‑scale unstructured data processing
• Knowledge of MLflow and MLOps (nice to have)
• Familiarity with AWS (nice to have)

What we offer

• Remote work from anywhere in Kyrgyzstan, with a modern office in Bishkek.
• Opportunities to work abroad up to two months per year.
• Relocation possibilities across EPAM’s 55+ offices worldwide.
• Corporate events, leadership development, certifications (GCP, Azure, AWS) and unlimited learning resources.
• Medical & family care package, referral bonuses, six trust days, fitness discounts and more.