Machine Learning Engineer
We are looking for talents that strive to find and implement effective solutions to constrained problems. We provide training and learning period, and we expect applicants to be fast learners and able to deliver solid results in our business-driven culture independently.
Machine Learning engineering or coding using python for deep learning or blockchain project.
Design and develop Machine Learning systems, models, and schemes.
Build, test and bugfix models for commercial quality biometrics authentication and blockchain anomaly detection.
Research and implement appropriate Machine Learning algorithms and tools.
Integrate models as a web service on AWS cloud (e.g. rest API , flask, dockers, etc.).
Work with software development team to integrate models into production.
Bachelor’s Degree in Science or Engineering disciplines (e.g. Physics, Statistics, Computer Science, Electrical Engineering). Master or above preferred.
1+ year of relevant work experience in deep learning; we focus on biometrics authentication (face, hand or speech recognition) and anomaly/fraud detection.
Proven Machine Learning knowledge/experience.
Mastery of python skills for data engineering, experience in PySpark and GC BigQuery is desired.
Familiarity with either building deep learning models with Tensorflow or Pytorch, or anomaly / fraud detection models.
Candidates meeting the above requirements and have proven data science project or team management experience will be considered for a Senior position.
Benefits & Environment
Medical, dental insurance.
Marriage leave, Compassionate leave, etc.
Employee stock options & token allocation (performance-based, awarded upon approval by the Board of Directors).
Opportunities to learn from and work with world-class scientist and engineers.
Start-up: minimum secretarial and clerical supports.
Multicultural, team-focused, dynamic – a Make-it-Happen culture.
Please apply by sending your resume to email@example.com
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