Senior AI Engineer with 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

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

Requirements

• 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

Nice to have

• Experience with MLflow and MLOps practices
• Familiarity with AWS
• Background in Customer Analytics, Recommendation Systems, or Retail

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL & HEALTHCARE
  • Private health insurance
  • Well‑being events
• WORKING ENVIRONMENT
  • Recreation areas and kitchens
  • Tea, coffee and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft's Software Assurance Home Use Program (HUP)

Please note that our Talent Attraction Team reviews applications and CVs submitted in English.

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI‑Native enterprises, driving measurable value from innovation and digital investments.