• Location: Singapore
  • Salary: S$7000 - S$9000 per month
  • Technology: Python Jobs
  • Job Type: Permanent
  • Date Posted: 15th Aug, 2019
  • Reference: 150819
My client within the AI industry is looking for a Machine Learning (ML) Engineer to help create natural language understanding modules and(/or) artificial intelligence products.

Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. Knowledge of data science and software engineering is preferred.

Responsibilities

* Study and transform data science prototypes
* Design machine learning systems
* Research and implement appropriate ML algorithms and tools
* Develop machine learning applications according to requirements
* Select appropriate datasets and data representation methods
* Run machine learning tests and experiments
* Perform statistical analysis and fine-tuning using test results
* Train and retrain systems when necessary
* Extend existing ML libraries and frameworks
* Keep abreast of developments in the field
* Lead a team of ML engineers (if applying for ML Research Member role)

Requirements

* Proven experience as a Machine Learning Engineer or similar role
* Understanding of data structures, data modeling and software architecture
* Deep knowledge of math, probability, statistics and algorithms
* Ability to write robust code in Python, Go and C++
* Ability to shift between different types of complex data types: from text to audio to visual media
* Familiarity with machine learning frameworks (like tensorflow) and libraries (like scikit-learn)
* Excellent communication skills
* Ability to work in a team
* Outstanding analytical and problem-solving skills
* Masters and Bachelors in Computer Science, Mathematics or similar field; Doctoral degree is a plus



Get in touch with Christopher at c.shepherdson@pearsonfrank.com or drop me a call at +65 3163 2038 (ext 5038)

EA License No: 11C3017

EA Personnel Number: R1877011