[Remote] Senior AI Engineer with Databricks

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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.


Responsibilities

  • Design, implement and maintain end-to-end ML pipelines on Databricks
  • Build workflows for data ingestion, preprocessing, feature engineering, training and inference
  • Leverage PySpark, Spark ML and Databricks notebooks/jobs
  • Manage model versioning, experiment tracking and reproducibility using MLflow
  • Package and deploy models for batch and real-time inference
  • Monitor model performance, drift and retraining cycles
  • Develop scalable ETL/ELT pipelines using Databricks Delta Lake
  • Optimize data storage and access patterns through partitioning, Z-ordering and caching
  • Integrate with data sources such as Azure Data Lake, S3, APIs and databases
  • Implement CI/CD pipelines for ML workflows using Azure DevOps, GitHub Actions and Databricks Repos and Jobs API
  • Configure clusters, autoscaling and cost optimization while applying Infrastructure as Code with Terraform, ARM and Bicep
  • Implement logging, alerting and observability to ensure high availability and fault tolerance of ML systems

Skills

  • 3+ years of experience in machine learning engineering or related roles
  • Expertise in the Databricks platform including workspaces, jobs and clusters
  • Proficiency in Apache Spark, PySpark and Python with pandas and scikit-learn
  • Skills in MLflow for tracking, registry and deployment
  • Competency in CI/CD pipelines, Docker containerization and REST APIs for model serving
  • Familiarity with version control using Git
  • Background in Azure including Azure Databricks, ADLS, ACR and AML
  • Knowledge of data preprocessing, feature engineering and model training and evaluation
  • Understanding of libraries such as XGBoost, LightGBM and CatBoost
  • English proficiency at B2 level or higher
  • Familiarity with AWS including S3, EMR and SageMaker
  • Skills in streaming pipelines with Spark Structured Streaming and Databricks Feature Store
  • Knowledge of Kubernetes
  • Competency in monitoring tools such as Prometheus and Grafana
  • Experience with large-scale production systems

Benefits

  • Diversity of assignments and projects
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses
  • English courses taught by certified teachers
  • Extra leave days
  • Referral bonuses
  • Private health insurance
  • Recreation office zones with tea, coffee and snacks
  • Sports and game consoles
  • IT equipment and Microsoft's Software Assurance Home Use Program (HUP)

Company Overview

  • EPAM 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 Sponsorship

  • EPAM 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.

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