- Initially, you'll work closely with a US-based team for 1-2 quarters to build knowledge before immersing more in APAC-focused projects. Flexibility to work some mornings or evenings will be necessary during this period.

- Impact key company objectives by working closely with Product to refine our roadmap.

- Build/maintain reports, dashboards, and metrics to monitor the performance of our products.

- Gather, clean, and prepare large datasets for machine-learning models.

- Build and maintain machine learning pipelines that are robust, scalable, and efficient.

- Collaborate with cross-functional teams to integrate machine learning solutions into production systems.

- Monitor and evaluate the performance of machine learning models and make continuous improvements.

Requirements :

- 6-10 years of experience building machine learning models for business applications.

- Entrepreneurial mindset with a mix of startup and large-scale experience, bonus points for being a co-founder.

- Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, or similar) and experience with applications.

- Deep understanding of machine learning techniques (clustering, decision tree learning, artificial neural networks, or similar) and their real-world advantages/drawbacks.

- Strong communication and presentation skills with a natural executive presence.

- Expert-level fluency using languages like Python and SQL to manipulate data and draw insights from large data sets.

- Working knowledge of common web/mobile architectures, data pipelines, CI/CD processes, etc.

- Strong understanding of DBT or other similar data transformation/organization methodologies.

- Experience with BI tools (e. g. Mode, Tableau, Looker).

- B. Tech/ B. E or BS/B. Sc in Math, Statistics, Physics, Computer Science, or other quantitative fields.