MLOps @ Devire

• 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 spoke

Nice to have:

• Experience in a release on production ML tools involving a user interface, e.g. Dash, Shiny R, Streamlit
• Experience in Azure cloud resource set up for purposes of data solutions
• Great communication skills to guide audiences of a broad technical knowledge range through complex ML Ops topics
• Practice 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 who join their Data Science Hub Europe and will be part of a 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: 100-130 zł/h netto (B2B) (additional days-off)
• Location: remote position with occasional visits in the office every 1-2 months
• Language: communication in English daily

• Salary up to 130 zł/h netto
• 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

,[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: Azure Cloud, Databricks, Python, SQL, Version control system, Testing, Continuous integration, DevOps, Data science, Kanban, User interface, Shiny, R, Communication skills

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