[Remote] Senior AI Engineer with Databricks

Note: The job is a remote job and is open to candidates in USA. EPAM Systems is looking for a Senior AI Engineer with expertise in Databricks to design, deploy, and maintain scalable machine learning pipelines. The role involves delivering production-ready ML pipelines, monitoring dashboards, and CI/CD pipelines for ML systems.ResponsibilitiesDesign, implement and maintain end-to-end ML pipelines on DatabricksBuild workflows for data ingestion, preprocessing, feature engineering, training and inferenceLeverage PySpark, Spark ML and Databricks notebooks/jobsManage model versioning, experiment tracking and reproducibility using MLflowPackage and deploy models for batch and real-time inferenceMonitor model performance, drift and retraining cyclesDevelop scalable ETL/ELT pipelines using Databricks Delta LakeOptimize data storage and access patterns through partitioning, Z-ordering and cachingIntegrate with data sources such as Azure Data Lake, S3, APIs and databasesImplement CI/CD pipelines for ML workflows using Azure DevOps, GitHub Actions and Databricks Repos and Jobs APIConfigure clusters, autoscaling and cost optimization while applying Infrastructure as Code with Terraform, ARM and BicepImplement logging, alerting and observability to ensure high availability and fault tolerance of ML systemsSkills3+ years of experience in machine learning engineering or related rolesExpertise in the Databricks platform including workspaces, jobs and clustersProficiency in Apache Spark, PySpark and Python with pandas and scikit-learnSkills in MLflow for tracking, registry and deploymentCompetency in CI/CD pipelines, Docker containerization and REST APIs for model servingFamiliarity with version control using GitBackground in Azure including Azure Databricks, ADLS, ACR and AMLKnowledge of data preprocessing, feature engineering and model training and evaluationUnderstanding of libraries such as XGBoost, LightGBM and CatBoostEnglish proficiency at B2 level or higherFamiliarity with AWS including S3, EMR and SageMakerSkills in streaming pipelines with Spark Structured Streaming and Databricks Feature StoreKnowledge of KubernetesCompetency in monitoring tools such as Prometheus and GrafanaExperience with large-scale production systemsBenefitsDiversity of assignments and projectsPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ coursesEnglish courses taught by certified teachersExtra leave daysReferral bonusesPrivate health insuranceRecreation office zones with tea, coffee and snacksSports and game consolesIT equipment and Microsoft's Software Assurance Home Use Program (HUP)Company OverviewEPAM leverages its core engineering expertise as a leading global product development and digital platform engineering services company. It was founded in 1993, and is headquartered in Newtown, Pennsylvania, USA, with a workforce of 10001+ employees. Its website is https://www.epam.com.Company H1B SponsorshipEPAM Systems has a track record of offering H1B sponsorships, with 11 in 2026, 120 in 2025, 172 in 2024, 232 in 2023, 373 in 2022, 359 in 2021, 502 in 2020. Please note that this does not guarantee sponsorship for this specific role.