Responsibilities

Develop and enhance our ML models: NLU, time series prediction, recommendation, etc.
Evaluate and diagnose ML models. Analyze and clean the data being fed to them.
Build and upkeep automated machine learning data pipelines and training systems.
Work with stakeholders including the executive, product, data, and design teams to come up with new ways we can utilize data to solve problems.
Automate and scale our resources and pipelines to accommodate the sharply increasing data requirements.

Qualifications

5+ years of some form of software engineering experience (at least 2 of which are in data science)
Experience building and optimizing ML models.
Extensive experience with object-oriented/object functional languages, e.g. Python, Ruby, Java, C++, etc.
Experience supporting and working with cross-functional teams in a dynamic environment.
English fluency

Nice to haves

Graduate degree in computer science, mathematics, statistics, or some other quantitative discipline.
Experience with NLP
Experience with tensorflow
Exposure to constructing automated training pipelines for machine learning models.
Computer Futures is part of the larger SThree K.K group
To find out more about Computer Futures, please visit www.computerfutures.com | Computer Futures www.computerfutures.com

Award winner of

Great Place to Work 2019 | Growth Company of the Year by TALint Recruitment Awards 2019 | Best IT & Technology Recruitment Company of the Year by Recruitment International Awards 2018

Summary
Computer Futures
Machine Learning Engineer at Computer Futures (Tokyo, Japan) (allows remote)

Tags: python, ai, machine learning, tensorflow, nlp, sysadmin