MLOps Engineer

Join ROCKWOOL's Data Science & Engineering team as a talented MLOps Engineer to build a better future for generations to come. Work with AI, machine learning, and cloud services to run and maintain AI/ML products and analytics solutions. Collaborate with teams from Denmark and Poland and be part of a global Data Science & Engineering team.

Requirements

• 4 to 7 years of hands-on experience in data science and field with a focus on using cloud-based services
• Proficient in Python and ability to pick up other languages based on relevance
• Experience with SQL
• Experience with Azure and Azure services related to data science
• Experience with Kubernetes and Docker
• Experience with CI/CD
• Extensive experience in Git (GitHub and GitOps)
• Excellent problem-solving skills, detail-oriented, and able to troubleshoot complex data issues under tight SLAs
• Strong communication skills: able to liaise between technical teams, non-technical stakeholders, and senior management
• Proactive mindset with a continuous improvement attitude; able to break down ambiguous requirements into actionable tasks

Benefits

• Opportunity to work with and learn from teammates from across continents
• Opportunity to learn technology leadership and guide team members with your technical brilliance and further develop your leadership skills
• Opportunity to learn the latest tech stack such as OpenShift, and Kubernetes in a leading Danish-based MNC at the forefront of the intersection of digital and business
• Empower business units across 50+ factories across the globe to use AI in their workflows
• Empower 10,000+ staff across the globe to use AI in their workflows
• Be part of a new and exciting team that is driving the AI agenda in ROCKWOOL, including fostering trust and literacy in AI
• Make a difference in terms of the planet’s sustainable development goals, making meaningful contributions from the angle of AI