AI Engineer

Job Summary:

Responsibilities:

• Frame the business problem and model if it can be resolved by machines’ solutions
• Improve actionable insights from data/models through applying various algorithmic techniques
• Select the right analytic techniques and set of potential algorithms to resolve complex business questions
• Develop mathematical models using Linear Algebra, Statistics and Probability or Geometry at an optimize level
• Develop company A/B testing framework and test model/solution quality on various machines on Cloud.
• Collaborate with Data Scientist team to identify data requirement, model improvement, as an input to the distributed solution process
• Perform the series of experiments with data and multiple algorithms
• Convert statistical results into consumable information for business usage
• Identify the solution to deploy the analytic product into the business operation process
• Provide Operations and Production support to operationalized (deployed) models
• Evaluate the modeling results and identify improvements after production as a full AI lifecycle

Qualifications:

• Bachelor’s degree or higher in Engineering and Science fields
• Experience in the AI/Data science lifecycle including data understanding, modeling, and deployment at least 5 years
• Strong skill in coding and computation using Python (must) and others
• Experience in Big Data and Cloud computing
• Experience in either open-source or proprietary software
• “Make it done” Attitude and open to learn new things
• Quantitative and Growth Mindsets
• Excellence in communication and data storytelling
• Experience with machine learning algorithms and statistics including regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, and so on.
• Qualified AI portfolio
• Good command of spoken & written English (Minimum TOEIC Score 500)