Summary
✨ AI‑Generated
Join an innovative data science team to build end‑to‑end ML platforms that power real‑time decision making. You’ll craft robust feature pipelines, train models at scale, and serve predictions with ultra‑low latency across distributed systems.
Highlights
Lead the design and deployment of production‑grade machine learning pipelines, focusing on feature engineering, scalable model training, and real‑time inference services. Work with big data technologies to ensure reliable, high‑performance ML solutions in cloud environments.
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.
Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda.
Responsibilities
Design 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 delivery
Requirements
5+ 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 higher
Nice to have
Experience with MLflow and MLOps practicesFamiliarity with AWSBackground in Customer Analytics, Recommendation Systems, or Retail
We offer
We connect like-minded people:Delivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growth:Leadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersDiscounts in local language schools, including online courses for the Kazakh languageWe cover it all:Participation in the Employee Stock Purchase PlanMonetary bonuses for engaging in the referral programMedical & family care packageSix trust days per year (sick leave without a medical certificate)Coverage of psychology sessions of your choiceBenefits package (sports activities, a variety of stores and services)Housing support program: preferential mortgage access via Otbasy Bank partnership
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.
