We are looking for brilliant, innovative, and highly motivated talent to help us build next-gen Classic AI and Generative AI Software as a Service (SaaS).
Responsibilities
- Develop various products, ranging from Risk scoring, Transaction monitoring, Smart Analytics, and Data Platform Solutions.
- Collaborate with the cross teams to bring prototypes to production.
- Participate in the whole ML/DL model lifecycle activities, including: planning, data gathering, data wrangling, data analysis, model building, deployment, versioning, and monitoring.
- Deploy researched AI models into production by wrapping them into scalable & durable micro-services.
Qualifications
- Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Actuarial Science, Computer Science, Engineering, Data Science, etc.)
- At least
2 years of experience
or 1 year of experience with
impressive portfolio projects
(or at least
achieving top 10% in Data Science competition(s) - for instance, in Kaggle).
- Deep understanding of statistical tests, predictive modeling, boosting algorithms, machine learning, and deep learning algorithms (will be tested during the interview).
- Fluency in a programming language (Python, JavaScript, Go).
- Requires hands-on with at least one of the following API frameworks: Flask or FastAPI.
- Strong
reasoning
and
storytelling
skills, be able to explain complex concepts or solutions to non-technical audiences. - Strong result delivery skills, either in written reports, visual reports, and presenting the findings into insightful dashboards.
Bonus points
- MLOps or DataOps Exposure and hands-on experience.
- Practical experience in processing hundreds of GB of data or beyond.