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Senior AI Engineer with Databricks

Open 38d posting dated 4 weeks ago

We are looking for a Senior AI Engineer with Databricks expertise to design, deploy and maintain scalable machine learning pipelines using the Databricks platform. In this role, you will deliver production-ready ML pipelines, automated training and retraining workflows, deployed models, 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

Requirements

  • 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

Nice to have

  • 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

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
  • Discounts in local language schools, including online courses for the Kazakh language

We cover it all:

  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Medical & family care package
  • Six trust days per year (sick leave without a medical certificate)
  • Coverage of psychology sessions of your choice
  • Benefits package (sports activities, a variety of stores and services)
  • Housing support program: preferential mortgage access via Otbasy Bank partnership

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)

See also

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