AI/Machine Learning Engineer with Databricks

We are looking for a hands-on AI/Machine Learning Engineer with proven experience deploying and running optimized feature engineering (offline and online), model training, and inference pipelines. Experience with unstructured data processing and Spark Streaming is a must. Real-time feature generation and inference are required for this project, along with batch pipelines for model training.
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
Requirements
3+ 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
Experience building and supporting batch pipelines for model training and retraining
Proven track record of running production-grade ML systems
English proficiency at B2 level or higher
Nice to have
Experience with MLflow and MLOps
Experience 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.

Work arrangement
Yes