Senior Architect (AI / ML)

Deutsche Post; Cyberjaya; Hybride; MYR 240 000 - 360 000; Plein temps

Avantages offerts par ce poste

Hybrid work arrangements

Medical coverage

Flexi benefit plan

Flexible holidays

Résumé du poste

DHL IT Services is seeking an AI/ML Senior Architect to lead enterprise-scale AI/ML architecture initiatives. You will define scalable data pipelines, model lifecycle processes and MLOps, while working with cross-functional teams across regions.

Experience with cloud AI platforms, LLMs, and Snowflake will be advantageous. Excellent communication in English and the ability to collaborate in a multinational environment are essential.

Qualifications

• AI/ML Senior Architect with enterprise AI/ML solution architecture experience.
• Strong knowledge of machine learning, deep learning, and generative AI concepts.
• Hands-on exposure to cloud-based AI platforms and enterprise LLM platforms.
• Good data modelling and data warehousing knowledge is a plus.

Responsabilités

• Provide architectural leadership across AI platforms, data pipelines, model lifecycle management and MLOps.
• Support complex incident analysis related to AI solutions, model behavior and data quality.
• Design, propose and govern architectural changes to existing or new AI/ML products.
• Collaborate with engineering, platform and security teams across regions.

Connaissances

AI/ML architecture

LLM platforms

Cloud-based AI

Docker/Kubernetes

Data modeling

Outils

Docker

Kubernetes

Snowflake

Vertex AI

Azure AI Services

Description du poste

Your IT Future, Delivered

Senior Architect

With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All our locations have earned the #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.

Digitalization. Simply delivered.
At IT Services, we are passionate about technology. Our Advance Analytics team is continuously expanding. No matter your level of Senior Architect proficiency, you can always grow within our diverse environment.

#DHL #DHLITServices #GreatPlace

Grow together

We in Advance Analytics Team are responsible to provide the best in class AI/ML solutions to our business and to help them unlock the real potential of business data. As an AI / ML Senior Architect, you bring strong experience in designing and building enterprise‑grade AI and Machine Learning applications, with a clear focus on architecture, scalability, security, and industry best practices. You have a proven track record of translating business requirements into well‑defined AI/ML architectural blueprints, covering data pipelines, model development, deployment, and lifecycle management.

You will provide architectural leadership across AI platforms, data pipelines, model lifecycle management, and MLOps. You will support complex incident analysis related to AI systems, model behavior, performance degradation, and data quality issues, working closely with engineering, platform, and security teams. For any issues related to AI solutions, ML pipelines, data pipelines, or generative AI services within the Advance Analytics team, you are our go‑to expert. This includes designing, proposing, and governing architectural changes to our existing or new AI/ML products.

Last but not least, AI technologies spanning machine learning models, generative AI, data platforms (Snowflake, Teradata), MLOps pipelines, cloud AI services (Azure / Google Cloud), APIs, and enterprise integrations are all part of your architecture domain.
Ready to embark on the journey? Here’s what we are looking for:
As an AI / ML Senior Architect, having enterprise AI / ML solution architecture experience is a huge plus. Very good knowledge of machine learning, deep learning, and generative AI concepts, along with hands‑on exposure to cloud‑based AI platforms, will be an integral part of this role.

You demonstrate deep knowledge of machine learning, deep learning, and generative AI architectures. Hands‑on experience with enterprise LLM platforms, including Google Vertex AI and Azure AI Services. Strong data modelling and data warehousing knowledge using Snowflake will be an advantage.

You are a technology aficionado, therefore you have a good understanding of containerization and orchestration technologies (Docker, Kubernetes), cloud‑native system design, API‑based AI services, and LLM platform integration (prompt engineering, RAG patterns, embeddings, and inference optimization). You are able to work independently, prioritize and organize your tasks under time and workload pressure. Working in a multinational environment, you can expect cross-region collaboration with teams around the globe, thus being advanced in spoken and written English will be certainly useful.

An array of benefits for you:

• Hybrid work arrangements to balance in-office collaboration and home flexibility.
• Outpatient (unlimited) and inpatient medical coverage for employees.
• Personalized flexi benefit plan for you and your family.
• Choose any day off from earned public holidays, including Saturdays and ad-hoc holidays to spend with your loved ones.
• Modern offices with free parking space.

Great Team

Hi, my name is Saif and I’m a team manager. I started my career at DHL IT Services back in 2018, when I took a role as Principal Consultant in the GCDB, Sales & Pricing team. Gaining more hands‑on experience with BI Domain has always fascinated me, so I moved to the BI & Pricing team. In 2022, I moved to a management role, and currently leading Advance Analytics & Customs Reporting team. Together with the strong support of a multinational & diverse team, we are working on our common ambition –Technology. Looking forward to having you onboard!

DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other protected characteristic.