MLOps Engineer

Overview

Ready to help build a better future for generations to come? In an ever-changing, fast-paced world, we owe it to ourselves and our future generations to live life responsibly. At ROCKWOOL, we work relentlessly to enrich modern living through our innovative stone wool solutions. This role places a strong emphasis on expertise in Machine Learning, DevOps, and operations of AI platforms. Your future team

We have recently started a journey towards using more AI, digitalization, automation and better use of data – and this is where your abilities come into play. You will join our Data Science & Engineering team and work at the forefront of AI and machine learning. This role reports to the Team Lead of the Data Science & Engineering team based in Malaysia. You will work closely with teams from Denmark and Poland and be an integral part of a larger global Data Science & Engineering team. Furthermore, you will be responsible for leading the data science aspects of the team, working closely with peers of varying skill sets. So far, we have hired one Data Engineer and two AI Engineers that you will have the opportunity to collaborate with and learn from.

What you will be doing

We are seeking a talented and experienced engineer in Machine Learning, DevOps and cloud services to join our Data Science & Engineering team in Malaysia. In this role, you will work closely with Data Scientists, ML engineers, and cross-functional stakeholders to run and maintain AI / ML products and analytics solutions at ROCKWOOL. You will be part of a growing team that focuses on developing custom AI products & LLM solutions. The role requires a blend of technical and communication skills. More concretely, you will have the following responsibilities : Run and Maintain AI Products

Programming in Python and use cloud technologies based on Azure, Google and OpenShift to deploy and model various ML models. Maintain custom AI products such as in-house developed GPT solution. Develop and maintain various AI APIs and backend functionality that supports custom AI products Develop and maintain back-end cloud applications using technologies like Kubernetes and Docker that will serve as the back-end of our custom AI products. Optimize Performance & Scalability

Proactively respond to service requests and incidents to ensure continuous uptime of our products and services in operations Profile, tune, and optimize models and backend components to meet SLA requirements. Evaluate and recommend new technologies or architectural patterns to improve existing products and services. Automate infrastructure provisioning (IaC) and CI / CD processes for custom AI workloads. Other Responsibilities

Guide and coach junior and mid-level engineers Data Science, Software Engineering programming, and AI platform development & maintenance. Innovate and proactively harden the AI platforms against potential issues. What You Bring

Must Have

Bachelor’s in Computer science, Software Engineering, Information Systems, or a related field. 5 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. Big Advantage

Master’s degree in Computer science, Software Engineering, Information Systems, or a related field. Python libraries specifically SQLAlchemy, FastAPI, Pydantic OpenAI endpoints Experience with LLMs IT Infrastructure (servers & databases) Prompt engineering Azure and Azure services related to data science Knowledge of GCP, OpenShift Knowledge of SAP Experience with relational databases such as Postgres Experience with Kubernetes and Docker Experience with Cloud Services Experience with CI / CD Extensive experience in Git (GitHub and GitOps) Experience with developing APIs that serves AI solutions 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. Who we are

We are the world leader in stone wool solutions. Founded in 1937 in Denmark, we transform volcanic rock into safe and sustainable products that help people and communities thrive. We are a global company with more than 12,000 employees, located in 40+ countries with 51 manufacturing facilities, all focused on one common purpose – to harness the natural power of stone to enrich modern living. Sustainability is central to our business strategy. ROCKWOOL was one of the first companies to commit to actively contributing to the United Nations Sustainable Development Goals (SDG’s) framework and is actively committed to 11 SDGs, including SDG 14, Life Below Water. Through our partnership with the One Ocean Foundation and in connection with our sponsorship of the Denmark SailGP team, we will help raise awareness around ocean health challenges to accelerate solutions to protect it. We want all our people to feel valued, respected, included, and heard. We employ 79 different nationalities worldwide and are committed to providing equal opportunities to all employees, promote diversity, and work against all forms of discrimination among ROCKWOOL employees. ROCKWOOL is keen to nurture employees, help them develop their talents, and move forward in their careers. You can expect to be supported in your professional ambitions through our development programs. Ready to apply?

Please submit your resume and cover letter by 30th September 2025. We look forward to hearing from you.

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