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Machine Learning Platform Engineer (available ASAP)

Machine Learning Platform Engineer (available ASAP)

ITDS Polska Sp. z o.o.Warszawa, Masovian, Poland
18 dni temu
Opis pracy

technologies-expected :

  • Microsoft Azure
  • Azure Databricks
  • Python
  • Docker
  • Kubernetes
  • Spark
  • Azure DevOps
  • Terraform

technologies-optional :

  • Prometheus
  • Grafana
  • about-project :

  • As a Machine Learning Platform Engineer, you will work with our client on building and enhancing a cutting-edge Analytical Platform using Azure Databricks. Your role will focus on designing scalable, secure, and cost-efficient infrastructure to support Data Science teams in developing, deploying, and monitoring machine learning models. You will be key in implementing best practices for MLOps, optimizing cloud resources, and ensuring smooth integration of ML solutions with business systems.
  • Fully remote opportunity!
  • Available ASAP.
  • responsibilities :

  • Design, build, and maintain a secure, scalable ML platform on Azure Databricks
  • Develop and manage CI / CD pipelines for ML workflows to enable continuous integration and deployment
  • Implement real-time monitoring, anomaly detection, and version control for ML models
  • Collaborate closely with Data Science teams to automate ML pipelines, enforce best practices, and support production deployments
  • Optimize cloud infrastructure for performance and cost-efficiency
  • Troubleshoot pipeline issues and manage incidents effectively
  • Integrate ML solutions with enterprise systems and BPMN workflows in partnership with corporate architects
  • Define and enforce standards and best practices for platform usage and security compliance
  • requirements-expected :

  • At least 5 years of experience in MLOps or ML platform engineering
  • Strong expertise with Azure and Azure Databricks (configuration, deployment, maintenance)
  • Advanced programming skills in Python and SQL; R is a plus
  • Deep understanding of the machine learning lifecycle (training, deployment, monitoring, and retiring models)
  • Hands-on experience with containerization (Docker) and orchestration (Kubernetes)
  • Familiarity with MLFlow, Spark, REST APIs
  • Experience creating and maintaining CI / CD pipelines, preferably with Azure DevOps
  • Skills in Infrastructure as Code, especially Terraform
  • Excellent analytical, communication, and teamwork skills
  • offered :

  • Stable and long-term cooperation with very good conditions
  • Enhance your skills and develop your expertise in the financial industry
  • Work on the most strategic projects available in the market
  • Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
  • Participate in Social Events, training, and work in an international environment
  • Access to attractive Medical Package
  • Access to Multisport Program
  • Access to Pluralsight
  • Flexible hours
  • benefits :

  • sharing the costs of sports activities
  • private medical care
  • flexible working time
  • fruits
  • integration events
  • corporate gym
  • mobile phone available for private use
  • computer available for private use
  • saving & investment scheme
  • no dress code
  • coffee / tea
  • drinks
  • christmas gifts
  • birthday celebration
  • sharing the costs of a streaming platform subscription
  • access to +100 projects
  • access to Pluralsight
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    Machine Learning Engineer • Warszawa, Masovian, Poland