Senior AI Engineer — Real-Time ML Pipelines on Databricks

EPAM Systems; Turkey; On-site; TRY 5,923,000 - 8,885,000; Full time

Benefits offered by this job

Private health insurance

Learning platforms access

Job summary

EPAM Systems is seeking a Senior AI Engineer to design, deploy, and operate production-grade ML systems with a focus on feature engineering, model training, and real-time inference pipelines. You will build scalable pipelines, process large datasets, and ensure reliability in production environments.

The role requires 5+ years of experience with Databricks, Spark/PySpark, Python, and SQL, plus strong knowledge of Spark Streaming and English proficiency at B2 level or higher.

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.
• Proven track record of running production-grade ML systems.
• English proficiency at B2 level or higher.

Responsibilities

• Design and optimize feature engineering pipelines for 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 delivery track record.

Skills

Feature engineering

Model training

Real-time inference pipelines

English proficiency

Python

SQL

Tools

Databricks

Spark

PySpark

SQL

Job description

EPAM Systems is seeking a Senior AI Engineer to design, deploy, and operate production-grade ML systems with a focus on feature engineering, model training, and real-time inference pipelines. You will build scalable pipelines, process large datasets, and ensure reliability in production environments.

The role requires 5+ years of experience with Databricks, Spark/PySpark, Python, and SQL, plus strong knowledge of Spark Streaming and English proficiency at B2 level or higher.