Machine Learning Evangelist

  • Lung Vang JSC
  • Danang, Da Nang, Vietnam
  • 16/06/2017
Full time Information Technology

Job Description

- Be responsible for analyzing diverse sets of imperfect data and finding common patterns, theme and trends by using Big Data tools and machine learning.

- Design and deliver scalable data-driven applications in real-time platforms.

- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

- Be involved in full development cycle from conceptualizing, coding, testing, deployment to iterating for continuous improvement.

- Identify, analyze, and interpret trends or patterns in complex data sets. Work closely with engineering, operations, and business teams to measure, analyze, growing data and help them make real time decisions.

Job Requirements

- A sound understanding of predictive analytics, predictive modeling and the ability to write data-driven applications based on the analysis is essential.

- Knowledgeable in statistics concepts including descriptive statistics, hypothesis testing, regression analysis, linear models, non-linear models, classification, forecasting, validation, etc.

- Practical experience building machine learning applications with structured, unstructured data types.

- Programming skills with big-data open source stack (Hadoop, spark, storm, and map-reduce, etc.).

- Programming skills with machine learning/deep learning packages (Tensor Flow, Caffe, openCV., etc.).

- Expert API development - Knowledge with NodeJS/ReactJS and framework JS such as Meteor, Loopback

- Spirit of inquiry for new technology and solving problem.

- Good communication & interpersonal skills, fluency in English

- At least 3 years experienced with Image Processing/ Computer Vision/ Data mining/ Artificial Intelligence/ Machine Learning ...

- University graduated in relevant fields: Engineering, mathematics, computer science, statistics, operations research or related field.

- Passion on build a awesome product and commercial success.