What you'll do
- Drive innovation by evaluating and integrating the latest AI technologies into real business use cases, particularly in Generative AI.
- Lead, mentor and grow a team of data scientists and machine learning engineers.
- Formulate, plan and prioritize data science projects in alignment with organizational goals.
- Design and refine the MLOps workflow to ensure scalability, reliability, and high availability of our machine learning services.
- Collaborate closely with cross-functional teams to ensure smooth integration of data science capabilities into products and platforms.
- Adapt quickly to changing priorities and be ready to roll up your sleeves when needed.
What you will need:
- 6+ years of hands-on experience in data science or machine learning, with a proven track record of deploying and maintaining production-grade AI systems.
- Demonstrated experience in applying Generative AI to business problems, in areas such as RAG, voice models (real-time or ASR/TTS-based), and AI agents.
- Strong understanding of machine learning lifecycle management and best practices in MLOps.
- Familiarity with frameworks, libraries and models used in OCR, computer vision, NLP, and machine learning.
- Experience with leveraging ML services on cloud platforms such as AWS and Azure is preferred.
- Good command of English and Mandarin.
Top Skills
What We Do
Established in December 2013, Lalamove was created to make on-demand and same-day delivery possible for everyone at the touch of a button. Today, Lalamove operates in over 20 markets across Asia, Latin America, and the United States connecting over 7 million customers with a pool of over 700,000 driver partners. Our driver partners operate a vast array of vehicles to suit each market including lorries, trucks, vans and cars for deliveries of almost anything of any size. Fleets of two-wheel vehicles are also available for courier services providing fast and low-cost delivery solutions. Through dedicated mobile and web apps, Lalamove seamlessly connects users and drivers around the world to move things that matter.






