Job Description

We are looking for a AI Engineer who will support Tiki to build a content moderation system. The ideal candidate is adept at using large data sets to find opportunities for the content (text/image/video) and process and using models to analyze different categories of data. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Responsibilities:

• Develop clever algorithms and pragmatic solutions to our automation and optimization problems.
• Build high accuracy machine learning models that can learn and optimize performance from vast amounts of data.
• Develop metrics to measure the outcome/impact of your introduced solutions.
• Work with other members (Data engineer and Data Analytics) to implement and integrate into our existing systems.
• Document and improve the solutions over time.
• Evaluate and identify new technologies for implementation.
• Communicate with our business and technical teams to understand the analytics requirements.
• Respond and follow up to incorporate feedback and draw new insights.
• Prioritize tasks to meet multiple deadlines.

Why you will want to work here:

• We are constantly iterating! There is no such best proposal for anything, no fastest API, no best machine learning models. We design, build, test, ship, and optimize, and test. Just a stream of improvements and tests.
• We have data-driven mindset, every point of changes must be tested to gain insights into its impacts on key metrics. It‘s a long process, but over time, we gradually learn and become confident in our approach.
• We love "best practices". Serving important features with high throughput always give us a hitch to research and apply best practices. Any experiment or optimization is always welcomed.
• We are both independent and open. We own our products. Technical problems would be discussed internal, but for difficult one, we could request other‘s help.

Yêu Cầu Công Việc

• Good mathematical and statistical background.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, neural networks, etc.
• Good understanding of machine learning and deep learning methods; in particular, XGBooost, RNN and LSTM
• Strong experience with ML/DL frameworks such as Tensorflow, etc... is a must. In particular, must be fluent in converting research papers into production-ready codes
• Experience with querying databases either using bigquery or statistical computer languages: Python, R
• Some experiences of time series forecasting methods such as (S)ARIMA(X), ETS, etc is a plus