ML Ops Engineer

Position: ML Ops Engineer

Job location: 100% remote

Date of publication: 16.09.2024

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:

ML Ops Engineer

Responsibilities:

  • 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

 

Requirements:

  • 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
  • Proven experience with software development best practices including testing, continuous integration, and DevOps tools
  • Advanced proficiency with Python and SQL in version control systems (git) plus their use in building ML & data pipelines
  • 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

Nice to have:

  • Experience in productionizing ML tools involving a user interface, e.g. Dash, Shiny R, Streamlit
  • Great communication skills to guide audiences of a broad technical knowledge range through complex ML Ops topics
  • Knowledge of KNIME and tools based on it
  • Practice in coaching / mentoring younger team members in your expertise areas

 

Offer:

  • 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.

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

REGON: 141316780

NIP: 5222877930

KRS: 0001067305

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