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AI Engineer, Assistant Manager (Evergreen)
Job Location:
Job Location:
Kuala Lumpur - Malaysia
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
9 September 2026 (17 hours ago)
Posted:
Application Deadline:
7 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
About the Role
The AI Engineer (Machine Learning Operations) Assistant Manager Group Digital Transformation is an individual contributor role responsible for engineering deploying and operating production-grade Artificial Intelligence (AI) and Machine Learning (ML) solutions at scale across DKSH. This role sits at the intersection of AI software engineering and cloud platforms enabling faster time-to-value from AI investments by establishing robust ML Operations (MLOps) practices and automation that power revenue-generating and mission-critical AI use cases globally.
What You Will Deliver
- Design build and maintain MLOps pipelines for training testing deploying and monitoring AI/ML models in production ensuring stable reliable and scalable performance.
- Engineer scalable model deployment architectures across cloud environments including Microsoft Azure to support both batch and real-time inference at enterprise scale.
- Implement automated workflows for model versioning Continuous Integration and Continuous Deployment (CI/CD) rollback and end-to-end lifecycle management.
- Ensure production AI systems consistently meet requirements for performance reliability security and cost efficiency.
- Monitor models for data drift performance degradation and operational issues and implement effective remediation strategies to sustain business continuity.
- Partner closely with AI Specialists data scientists and data engineers to successfully productionize models and analytics solutions.
- Develop reusable components frameworks and templates that accelerate AI delivery across markets and use cases.
- Integrate AI models into enterprise systems digital products and business workflows via Application Programming Interfaces (APIs) and services.
- Support the deployment of generative AI and Large Language Model (LLM)-based solutions with appropriate guardrails observability and operational controls.
- Define and enforce MLOps standards best practices and reference architectures to drive AI engineering maturity across DKSH.
- Contribute to documentation runbooks and knowledge sharing to uplift AI engineering capability across teams.
- Support audits compliance and responsible AI requirements from an engineering and operational perspective.
- Administrative duties and coordination tasks as required.
What You Bring
- Bachelors degree in Computer Science Engineering Data Science or a related field; relevant cloud DevOps or AI engineering certifications are an advantage.
- Minimum 5 years of experience in AI engineering MLOps DevOps or software engineering roles with demonstrated experience supporting production AI or data-driven systems at scale.
- Strong hands-on experience in MLOps AI engineering or machine learning platform roles.
- Proficiency in Python and software engineering best practices.
- Hands-on experience with Databricks and MLFlow for model deployment and lifecycle management.
- Practical experience with CI/CD pipelines and automation for AI/ML workloads.
- Experience with cloud platforms preferably Microsoft Azure including Azure Machine Learning (Azure ML) Azure DevOps and container technologies.
- Strong understanding of the machine learning lifecycle encompassing training inference monitoring and retraining.
- Experience with containerization and orchestration tools such as Docker and Kubernetes.
- Familiarity with infrastructure-as-code and platform automation practices.
- Exposure to generative AI and Large Language Model (LLM) deployment patterns.
- Experience working in agile or product-oriented delivery teams.
- Ability to engineer reliable secure and scalable systems in complex enterprise environments.
- Strong problem-solving mindset with close attention to operational detail.
- Ability to influence stakeholders and communicate effectively with both technical and non-technical audiences to drive cross-functional collaboration.
Why Join DKSH
At DKSH we help companies grow in Asia and enable people to perform at their best. You will be part of an organization that values accountability collaboration and long-term partnerships. We offer a dynamic environment where your contributions are visible and where you can build a meaningful career in Digital Transformation.
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Required Experience:
Manager
About Company
DKSH Spain distributes, markets, and sells high-quality products and brands, helping businesses in Spain develop and grow.
