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The Lead AI Engineer / AI Architect is an advanced-level position within the Advanced Analytics job family. This role involves managing the lifecycle of AI solutions, defining technical product strategies, managing a portfolio of AI services, and driving innovation in AI technologies.The role is based in either Singapore or Cyberjaya, Malaysia.How will you contribute to the success of DHL?Accountability:
- Define the design and oversee implementation of AI platforms, services and solutions, ensuring alignment with DHL's technology platforms and business objectives.Leadership:
- Provide strategic direction and technical leadership in AI and machine learning technologies, guiding the integration of these solutions into business systems.Execution:
- Drive the development and deployment of scalable AI applications, including generative AI and advanced analytics, to enhance logistics and operational efficiency; hands-on POC of new technology feasibility.Collaboration:
- Build effective relationships with stakeholders, manage AI project portfolios, and ensure the successful integration of AI solutions within the organization.Entrepreneurship: Proactively share expert knowledge with team, peers, stakeholders, and wide DHL community; identify and bring new technologies/methods.Vendor management: Manage vendor relationships, evaluating and negotiating AI solutions that align with business requirements.Do you have what it takes?
- Advanced degree or equivalent experience in: Computer Science, Engineering, Information Systems.
- 10+ years of experience in Data Analytics, 5+ years of experience in Solution Architecture, Machine Learning Ops, 2+ years of experience in Generative AI Professional Certification in Agile (preferable).
- Proven experience in delivering ML and AI solutions with business impact and system integration.
- Expertise in AI architecture design, machine learning operations, model deployment, and system integration.
- Hands-on experience with AI service and Generative AI/LLM frameworks such as Azure AI, GCP AI, OpenAI, GPT-based systems, Hugging Face and the like.
- Strong knowledge of machine learning models (e.g., regression, decision trees, neural networks) and deployment pipelines.
- Advanced programming skills in Python for data transformation, model training, and API services.
- Advanced skills in SQL programming and schema architecture.
- Experience with distributed platforms, cloud-based solutions (Azure/GCP), service-oriented architectures (SOAP and REST), and SQL/NoSQL databases.
- Experience with architecting solutions with high availability and high scalability.
- Familiarity with containerization (Docker), orchestration (Airflow), and MLOps frameworks (e.g., MLFlow, Kubeflow).
- Familiarity in web technologies: Spring MVC, Angular JS, Servlets, HTML, XML, JavaScript, CSS, jQuery, Bootstrap.
Aperia, 10 Kallang Avenue, Tower 2 11-10/18
339510 Singapore
The Lead AI Engineer / AI Architect is an advanced-level position within the Advanced Analytics job family. This role involves managing the lifecycle of AI solutions, defining technical product strategies, managing a portfolio of AI services, and driving innovation in AI technologies.The role is based in either Singapore or Cyberjaya, Malaysia.How will you contribute to the success of DHL?Accountability:
- Define the design and oversee implementation of AI platforms, services and solutions, ensuring alignment with DHL's technology platforms and business objectives.Leadership:
- Provide strategic direction and technical leadership in AI and machine learning technologies, guiding the integration of these solutions into business systems.Execution:
- Drive the development and deployment of scalable AI applications, including generative AI and advanced analytics, to enhance logistics and operational efficiency; hands-on POC of new technology feasibility.Collaboration:
- Build effective relationships with stakeholders, manage AI project portfolios, and ensure the successful integration of AI solutions within the organization.Entrepreneurship: Proactively share expert knowledge with team, peers, stakeholders, and wide DHL community; identify and bring new technologies/methods.Vendor management: Manage vendor relationships, evaluating and negotiating AI solutions that align with business requirements.Do you have what it takes?
- Advanced degree or equivalent experience in: Computer Science, Engineering, Information Systems.
- 10+ years of experience in Data Analytics, 5+ years of experience in Solution Architecture, Machine Learning Ops, 2+ years of experience in Generative AI Professional Certification in Agile (preferable).
- Proven experience in delivering ML and AI solutions with business impact and system integration.
- Expertise in AI architecture design, machine learning operations, model deployment, and system integration.
- Hands-on experience with AI service and Generative AI/LLM frameworks such as Azure AI, GCP AI, OpenAI, GPT-based systems, Hugging Face and the like.
- Strong knowledge of machine learning models (e.g., regression, decision trees, neural networks) and deployment pipelines.
- Advanced programming skills in Python for data transformation, model training, and API services.
- Advanced skills in SQL programming and schema architecture.
- Experience with distributed platforms, cloud-based solutions (Azure/GCP), service-oriented architectures (SOAP and REST), and SQL/NoSQL databases.
- Experience with architecting solutions with high availability and high scalability.
- Familiarity with containerization (Docker), orchestration (Airflow), and MLOps frameworks (e.g., MLFlow, Kubeflow).
- Familiarity in web technologies: Spring MVC, Angular JS, Servlets, HTML, XML, JavaScript, CSS, jQuery, Bootstrap.
Aperia, 10 Kallang Avenue, Tower 2 11-10/18
339510 Singapore