MLOps Engineer

Engineer Machine Learning, DevOps & Cloud Services
Job ID: 4RR4W45V
Location: Kuala Lumpur, Malaysia
Work Mode: [Hybrid]
Job Type: [Permanent]

Our client is a Danish-based multinational with a global footprint, supplying stone wool solutions that support safer, more sustainable buildings and modern living. They operate 50+ factories and empower over 10,000 employees worldwide to drive impact through innovation and data. As a business at the forefront of digitalisation and AI adoption, they are investing heavily in advanced analytics, automation and AI platforms to shape a more sustainable future.

We are seeking an experienced Engineer Machine Learning, DevOps & Cloud Services to join the growing Data Science & Engineering team in Malaysia, working at the forefront of AI and machine learning and collaborating closely with colleagues in Malaysia, Denmark and Poland.

Responsibilities

• Work as part of the Data Science & Engineering team in Malaysia, collaborating with global colleagues to run and maintain AI/ML products and analytics solutions.
• Lead the data science aspects of the team and work closely with peers of varying skill sets (Data Engineers and AI Engineers).
• Program primarily in Python and use cloud technologies (Azure, Google Cloud, OpenShift) to deploy and manage ML models.
• Maintain and enhance custom AI products, including an in-house developed GPT-based solution.
• Develop and maintain AI APIs and backend services that power custom AI products and LLM solutions.
• Build and maintain back-end cloud applications using Kubernetes and Docker to serve as the backbone of AI products.
• Proactively respond to service requests and incidents to ensure high availability and continuous uptime of AI products in production.
• Profile, tune and optimize ML models and backend components to meet strict SLA and performance requirements.
• Evaluate and recommend new technologies, tools and architectural patterns to improve AI platforms and services.
• Automate infrastructure provisioning (IaC) and CI/CD pipelines for custom AI workloads.
• Guide and coach junior and mid-level engineers in Data Science, Software Engineering and AI platform development and maintenance.
• Innovate and continuously harden AI platforms against potential issues, ensuring robustness, reliability and scalability.

Requirements

Must-have:

• Bachelors degree in Computer Science, Software Engineering, Information Systems, or a related field.
• 4-7 years of hands-on experience in data science or related fields with a strong focus on cloud-based services.
• Proficiency in Python with the ability to pick up other programming languages as needed.
• Experience working with SQL.

Nice-to-have:

• Masters degree in Computer Science, Software Engineering, Information Systems, or a related field.
• Experience with Python libraries such as SQLAlchemy, FastAPI and Pydantic.
• Exposure to OpenAI endpoints and experience working with LLMs.
• Knowledge of IT infrastructure (servers and databases).
• Experience with prompt engineering for AI/LLM solutions.
• Experience with Azure and Azure services related to data science.
• Knowledge of GCP and OpenShift.
• Knowledge of SAP.
• Experience with relational databases such as Postgres.
• Hands-on experience with Kubernetes and Docker.
• Strong background with cloud services and modern deployment patterns.
• Experience with CI/CD pipelines.
• Extensive experience with Git, including GitHub and GitOps practices.
• Experience developing APIs that serve AI solutions.
• Excellent problem-solving skills, detail-oriented, and able to troubleshoot complex data issues under tight SLAs.
• Strong communication skills, able to liaise effectively with technical teams, non-technical stakeholders and senior management.
• Proactive mindset with a continuous improvement attitude, able to break down ambiguous requirements into clear, actionable tasks.

Why Join Us

• Work closely with teammates across continents and be part of a positive, tight-knit, global Data Science & Engineering community.
• Develop technology leadership skills by mentoring and guiding other engineers while growing your own expertise.
• Gain hands-on experience with a modern tech stack including OpenShift, Kubernetes and cloud-native AI platforms in a leading Danish-based MNC.
• Empower business units across 50+ factories worldwide to embed AI into their workflows.
• Enable 10,000+ staff across the globe to use AI tools responsibly and effectively.
• Join a new and exciting team that is driving the AI agenda, fostering trust, literacy and responsible AI adoption.
• Contribute to global sustainability goals by applying AI to real-world challenges that positively impact the planet.