Senior AI Engineer with Databricks

EPAM Systems; Turkey; On-site; TRY 5,914,000 - 8,871,000; Full time

Benefits offered by this job

Private health insurance

Extra leave days

Referral bonuses

Certification and professional dev.支持

Job summary

EPAM Systems, Inc. seeks a Senior AI Engineer to design, deploy, and operate production-grade ML systems with a focus on feature engineering and real-time inference pipelines.

You will build scalable training and inference pipelines, process large-scale data, and develop streaming solutions with Spark Streaming, ensuring reliability and low-latency model serving in production.

Qualifications

• 5+ years of experience building, deploying, and operating offline and online feature engineering pipelines.
• Hands-on expertise in Databricks, Spark/PySpark, Python, and SQL.
• Experience with real-time feature generation and low-latency model inference.
• Strong knowledge of Spark Streaming.
• Experience processing large-scale unstructured data.

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.

Skills

Feature engineering

Real-time inference pipelines

Production ML systems

English proficiency

Tools

Databricks

Spark/PySpark

Python

SQL

Spark Streaming

MLflow

MLOps

AWS

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.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 with a strong track record of deliveryRequirements5+ years of experience building, deploying, and operating offline and online feature engineering pipelinesStrong experience with model training and real-time inferencing pipelinesHands-on expertise in Databricks, Spark/PySpark, Python, and SQLExperience processing large-scale unstructured dataStrong knowledge 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 haveExperience with MLflow and MLOps practicesFamiliarity 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.