Senior Specialist AI Engineer (MLOps)

The AI Engineer (MLOps), Senior Specialist is an individual contributor role responsible for engineering, deploying, and operating production-grade AI and machine learning solutions at scale across DKSH. The role focuses on MLOps engineering, model lifecycle management, and platform reliability, ensuring that AI models built by data scientists and AI specialists can be securely deployed, monitored, scaled, and continuously improved in production environments.

This role sits at the intersection of AI, software engineering, and cloud platforms. It enables faster time-to-value from AI investments by establishing robust MLOps practices, automation, and standards that support revenue-generating and mission-critical AI use cases.

General responsibilities

• Design, build, and maintainMLOpspipelinesfor training, testing, deploying, and monitoring AI/ML models in production.
• Engineer scalable and reliablemodel deployment architecturesacross cloud environments (Azure), supporting batch and real-time inference.
• Implement automated workflows for model versioning, CI/CD, rollback, and lifecycle management.
• EnsureproductionAI systems meet requirements for performance, reliability, security, and cost efficiency.
• Monitor models for data drift, performance degradation, and operational issues, and implement remediation strategies.
• Partner closely with AI Specialists, data scientists, and data engineers to productionize models and analytics solutions.
• Develop reusable components, frameworks, and templates to accelerate AI delivery across markets and use cases.
• Integrate AI models into enterprise systems, digital products, and business workflows via APIs and services.
• Support deployment of generative AI and LLM-based solutions withappropriate guardrails, observability, and controls.
• Define and enforceMLOpsstandards, best practices, and reference architecturesfor DKSH.
• Improve reliability, scalability, and speed of AI delivery through automation and engineering discipline.
• Contribute to documentation, runbooks, and knowledge sharing to uplift AI engineering maturity across teams.

Job requirements

• Strong experience inMLOps,AIengineering,ormachinelearningplatformroles.
• ProficiencyinPythonand software engineering best practices.
• Hands-on experience withmodel deployment, CI/CD, and automationfor AI/ML workloads.
• Experience withcloud platforms, preferablyMicrosoft Azure(e.g.Azure ML, DevOps, containers).
• Strong understanding of machine learning lifecycle concepts, including training, inference, monitoring, and retraining.
• Ability to engineer reliable, secure, and scalable systems in complex enterprise environments.

Preferred skills

• Experience with containerization and orchestration tools (e.g.Docker, Kubernetes).
• Experience with Databricks and MLFlow
• Familiarity with infrastructure-as-code and platform automation.
• Exposure togenerative AI and LLM deployment patterns.
• Experience working in agile or product-oriented delivery teams.
• Strong problem-solving mindset and attention to operational detail.

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Advertising, Marketing & Communications Services 1,001-5,000 employees

DKSH’s purpose is to enrich people’s lives. For nearly 160 years, we have been marketing, selling, and distributing high-quality products and brands for multinational and Fortune 500 companies. Through our Business Units Consumer Goods, Healthcare, Performance Materials, and Technology, we deliver sustainable growth for our partners. We contribute to improving the quality of life for our employees and people in the local communities in which we operate. Headquartered in Switzerland, DKSH is publicly listed and operates in 36 markets across Asia Pacific, Europe, and North America. We employ over 29,000 specialists and produced net sales of CHF 11.1 billion in 2023.

DKSH’s purpose is to enrich people’s lives. For nearly 160 years, we have been marketing, selling, and distributing high-quality products and brands for multinational and Fortune 500 companies. Through our Business Units Consumer Goods, Healthcare, Performance Materials, and Technology, we deliver sustainable growth for our partners. We contribute to improving the quality of life for our employees and people in the local communities in which we operate. Headquartered in Switzerland, DKSH is publicly listed and operates in 36 markets across Asia Pacific, Europe, and North America. We employ over 29,000 specialists and produced net sales of CHF 11.1 billion in 2023.