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- 2+ years of professional experience in ML Ops or ML engineering, particularly in productionizing and scaling ML models.
- 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.
- Business-ready command of English, written and spoken.
Nice to have:
- Experience in productionizing ML tools involving a user interface, e.g. Dash, Shiny R, Streamlit.
- Experience in Azure cloud resource setup for purposes of data solutions.
- Great communication skills to guide audiences of a broad technical knowledge range through complex ML Ops topics.
- Practice in coaching / mentoring younger team members in your expertise areas.
Devire IT Outsourcing is a form of cooperation dedicated to IT professionals, based on the principles of own business - B2B, implementing projects for clients running innovative and modern projects.
Our client is one of the world's largest food and beverage companies. They are looking for MLOps Engineer who will join their international team dedicated to delivering efficient and high-quality data solutions. You will collaborate with data scientists, data analysts and engineers to build, scale and operate our machine learning & analytics platform. Your skill, competence and creativity will directly support and impact critical business decisions in areas of supply chain and marketing.
- Salary: 110-140zł/h netto + VAT.
- Additional benefits package (medical healthcare, sports membership, etc.).
- Possibility to cooperate with an international company with a stable market position.
- Remote position with occasional visits in the office every 1-2 months.
- Long-term cooperation.
- Flexible working hours, Polish time zone.