ZALORA. ★ 3.5

ABOUT THE ROLE
Zalora is looking for a Senior AI Engineer to design, build, and ship AI- powered systems that make our data and technology teams — and the wider business — faster and smarter. You&039;ll work across the full lifecycle: from prototyping applied ML and LLM- based solutions, to productionizing models and pipelines that run reliably at e- commerce scale. This role sits within the Data Engineering & Analytics organization and partners closely with data engineers, analysts, and business stakeholders across Operations, Marketing, Commercial, and Finance.
Responsibilities

Establish and champion engineering best practices for AI systems — testing, evaluation, observability, cost management, and responsible/safe deployment.
Translate ambiguous business problems into well- scoped technical solutions, and communicate results and trade- offs clearly to both technical and non- technical stakeholders, including senior leadership.
Partner with data engineers and analysts to identify high- impact use cases across e- commerce operations, marketing, customer experience, and finance.
Own the full engineering lifecycle: prototyping, evaluation, deployment, monitoring, and iteration of models and AI agents/pipelines.
Mentor other engineers on applied AI techniques and help raise the technical bar across the team..
Design and build production- grade AI/ML systems — including LLM- powered applications, predictive models, and intelligent automation — that integrate with Zalora&039;s data platform (BigQuery, dbt, Airflow).
Build reusable tooling and infrastructure (retrieval pipelines, evaluation frameworks, prompt/version management, MLOps tooling) to accelerate the team&039;s AI capabilities.

Yêu cầu công việc

• 5+ years of software or data engineering experience, with at least 2+ years building and shipping AI/ML systems in production.
• Strong programming skills in Python (and comfort with SQL); experience building reliable, well- tested services and pipelines.
• Hands- on experience with at least one of: LLM application development (RAG, agents, prompt engineering, fine- tuning), classical ML/predictive modeling, or ML platform/MLOps engineering.
• Practical experience with cloud data platforms (GCP/BigQuery preferred, AWS/Azure also welcome) and modern data tooling (dbt, Airflow, or similar orchestration).
• Solid understanding of ML/AI system design trade- offs: latency, cost, evaluation, data quality, and failure modes.
• Strong communication skills — able to explain technical concepts to non- technical stakeholders and write clear documentation.
• A pragmatic, product- minded approach: comfortable moving from ambiguous problem to shipped solution without waiting for perfect requirements.g.

Nice to Have

Familiarity with data governance, experimentation frameworks, or responsible AI practices.
Background in e- commerce, marketplace, or retail data domains.
Experience with the Anthropic or OpenAI APIs, vector databases, or agentic frameworks.
Experience working in a bilingual (English/Vietnamese) or regional Southeast Asian environment.

Tại sao bạn sẽ yêu thích làm việc tại đây

A dynamic working environment shaping the face of fashion e- commerce in growth markets
Hybrid working environment.
15 days of annual leave, 30 days of sick leave/mental health, 1 day of occasion leave
Work closely with a global talent pool with international mindset
Amazing office and great culture! Massage chairs, table tennis, video game room, quarterly team events, yearly company trip, end of the year party
Best practice scaled agile engineering
13th month salary
The unique opportunity to have a serious impact on a growing organization
Macbook or laptop when you start
Social insurance, medical insurance & health insurance
Clear career progression plan and support

Cập nhật gần nhất lúc: 2026-08-28 20:30:06