ML Ops Engineer

Stanowisko: ML Ops Engineer

Miejsce pracy: 100% remote

Data dodania: 29.05.2024

DCG is a modern technology company, gathering in its ranks IT related professionals. Due to the continuous development and the large number of recruitment projects that we carry out for our Partners, we are looking for a person for the position:

ML Ops Engineer


  • Optimize, standardize and implement data science and machine learning solutions at scale and in cloud-based environments (Azure)
  • Participate in the end-to-end lifecycle of data science projects through the use of DevOps, code, experiment and model management, CI/CD and further industry best practices
  • Write well-designed, testable, efficient code
  • Work closely with engineering to continuously improve the way we consume data and deploy models in production
  • Design and lead on monitoring, troubleshooting, debugging and incident management for our ML pipelines
  • Be a trusted advisor and evangelist to the team and stakeholders on various aspects of ML Ops, from scaling and throughput, to infrastructure and deployment strategies



  • 2+ years of professional experience in ML Ops or ML engineering, particularly in productionizing and scaling ML models
  • Business-ready command of English, written and spoken
  • Broad familiarity with Azure cloud environment and Databricks, including its setup and maintenance as an ML platform
  • Advanced proficiency with Python and SQL in version control systems (git) plus their use in building ML & data pipelines
  • Proven experience with software development best practices including testing, continuous integration, and DevOps tools
  • Good understanding of data science lifecycle and the way data scientists work to deliver value
  • Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.)
  • Attention to clarity of code, ease of development, and correctness of implementations
  • Experience in productionizing ML tools involving a user interface, e.g. Dash, Shiny R, Streamlit - nice to have
  • Great communication skills to guide audiences of a broad technical knowledge range through complex ML Ops topics - nice to have
  • Knowledge of KNIME and tools based on it - nice to have
  • Practice in coaching / mentoring younger team members in your expertise areas - nice to have



  • Private medical care
  • Co-financing for the sport card
  • Training & learning opportunities
  • Constant support of dedicated consultant
  • Team-building events organized by DCG
  • Employee referral program

Przed wyslaniem CV/dokumentów aplikacyjnych, uprzejmie prosimy kandydatów o zapoznanie się z klauzulą informacyjną.

Po zapoznaniu się z klauzulą informacyjną podaną przez Administratora Danych dobrowolnie wyrażam zgodę na przetwarzanie przez Ogłoszeniodawcę moich danych osobowych, zawartych w mojej ofercie pracy, dla potrzeb procesu tej rekrutacji oraz dla realizacji przyszłych projektów rekrutacyjnych.

Agencja doradztwa personalnego (nr licencji 4642)

Dane spółki: DCG Sp. z o.o., ul. Towarowa 28, 00-839 Warszawa                                                     

REGON: 141316780

NIP: 5222877930

KRS: 0001067305

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