Senior AI Solution Engineer with Databricks, ML

EPAM Systems; Turkey; On-site; TRY 4,496,000 - 8,492,000; Full time

Job summary

EPAM Systems Inc in Turkey is seeking a Senior AI Solution Engineer to design, deploy, and operate production-grade ML systems. You will build streaming pipelines, enable real-time feature generation and model serving, and ensure reliability at scale using Databricks, Spark/PySpark, Python, and SQL.

The role focuses on both offline and online feature pipelines, with experience in building scalable data and ML workflows.

Qualifications

• 5+ years of experience building, deploying, and operating offline and online feature engineering pipelines.
• Experience with real-time feature generation and low-latency model inference.
• Proficiency in Databricks, Spark/PySpark, Python, and SQL.
• Knowledge of Spark Streaming and production ML systems.

Responsibilities

• Design and optimize feature engineering pipelines for batch and real-time workloads.
• Build, deploy, and maintain scalable model training and inference pipelines.
• Operate production ML systems ensuring reliability and scalability.
• Support and optimize batch pipelines for model training and retraining.

Skills

Data Engineering

Machine Learning

Real-time processing

Streaming pipelines

Tools

Databricks

Spark/PySpark

Python

SQL

Spark Streaming

MLflow

AWS

Job description

We are seeking a Senior AI Solution Engineer with expertise in Databricks and Machine Learning to design, deploy, and operate production-grade ML systems. The ideal candidate is a hands-on Data Engineer / Machine Learning Engineer with a proven track record of delivering real-time and batch ML solutions, strong capability to build streaming pipelines, and experience ensuring the reliability and scalability of ML systems in production environments.ResponsibilitiesDesign and optimize feature engineering pipelines for both batch and real-time workloadsBuild, deploy, and maintain scalable model training and inference pipelinesProcess structured and unstructured data at scaleDevelop streaming solutions using Spark StreamingEnable real-time feature generation and model servingEnsure reliability, scalability, and performance of ML solutions in productionSupport batch pipelines for model training and retrainingOperate and maintain production ML systems to ensure consistent performanceRequirements5+ years of experience building, deploying, and operating offline and online feature engineering pipelinesProficiency in Databricks, Spark/PySpark, Python, and SQLExpertise in model training and real-time inferencing pipelinesExperience processing large-scale unstructured dataKnowledge of Spark StreamingExperience with real-time feature generation and low-latency model inferenceProven track record of running production-grade ML systemsEnglish proficiency at B2 level or higherNice to haveFamiliarity with MLflow and MLOps practicesExperience with AWSBackground in Customer Analytics, Recommendation Systems, or RetailWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’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.