--- title: AI/Machine Learning Engineer with Databricks at EPAM Systems description: 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. Exp --- # AI/Machine Learning Engineer with Databricks **Company:** EPAM Systems **Location:** Georgia **Posted:** 2026-10-11 **Apply by:** 2026-11-25 **Tags:** data [Apply / View original posting](https://www.linkedin.com/jobs/view/4477231836) ## Job description 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. Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi. 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 We connect like-minded people Delivering innovative solutions to industry leaders, making a global impact Enjoyable working environment, whether it is the vibrant office or the comfort of your own home Opportunity to work abroad for up to two months per year Relocation opportunities within our offices in 55+ countries Corporate and social events We invest in your growth Leadership development, career advising, soft skills and well-being programs Certifications, including GCP, Azure and AWS Unlimited access to EPAM's internal learning database Free English classes with certified teachers We cover it all Participation in the Employee Stock Purchase Plan Monetary bonuses for engaging in the referral program Comprehensive medical & family care package Five trust days per year (sick leave without a medical certificate) Benefits package (sports activities, a variety of stores and services) 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. --- 🔔 [Monitor similar jobs on Gurify](https://gurify.com/?utm_source=techgeo&utm_medium=jobboard&utm_campaign=monitor_similar&role=AI%2FMachine+Learning+Engineer+with+Databricks) — get alerted when matching roles are posted in Georgia. ```json {"@context":"https://schema.org/","@type":"JobPosting","title":"AI/Machine Learning Engineer with Databricks","description":"

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. Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi. 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 We connect like-minded people Delivering innovative solutions to industry leaders, making a global impact Enjoyable working environment, whether it is the vibrant office or the comfort of your own home Opportunity to work abroad for up to two months per year Relocation opportunities within our offices in 55+ countries Corporate and social events We invest in your growth Leadership development, career advising, soft skills and well-being programs Certifications, including GCP, Azure and AWS Unlimited access to EPAM's internal learning database Free English classes with certified teachers We cover it all Participation in the Employee Stock Purchase Plan Monetary bonuses for engaging in the referral program Comprehensive medical & family care package Five trust days per year (sick leave without a medical certificate) Benefits package (sports activities, a variety of stores and services) 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.

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