Develop AI/ML models and data pipelines that power intelligent, budget-friendly solutions for our clients.
Responsibilities
- Build and maintain end-to-end ML pipelines (data ingestion → training → serving).
- Develop predictive models and recommendation systems for retail and F&B verticals.
- Design and maintain data warehouses (BigQuery, Snowflake) and ETL/ELT workflows.
- Deploy and monitor models in production using MLflow, BentoML, or similar.
- Collaborate with domain experts to translate business problems into ML tasks.
Requirements
- 3+ years of experience in data engineering or machine learning engineering.
- Proficiency in Python (pandas, scikit-learn, PyTorch or TensorFlow).
- Hands-on experience with SQL and columnar data stores.
- Familiarity with orchestration tools (Airflow, Prefect, or Dagster).
- Ability to communicate findings clearly to non-technical stakeholders.
Nice to have
- Experience with LLMs, RAG pipelines, or generative AI applications.
- Knowledge of data governance and privacy regulations (PDPA, GDPR).
Benefits
- GPU cloud credits for experimentation.
- Access to internal data-science reading group and weekly demos.
- Flexible remote policy — up to 3 days/week from home.
- Annual hackathon with cash prizes.