Located in HKSTP, eSix is a networking edge technology company focus on the Industrial IOT high-speed network. It's patented technology enables the bi-directional control of remote machines easily, especially in the 5G mobile network environment.Examples cases are unmanned truck management in one...

Located in HKSTP, eSix is a networking edge technology company focus on the Industrial IOT high-speed network. It's patented technology enables the bi-directional control of remote machines easily, especially in the 5G mobile network environment.

Examples cases are unmanned truck management in one of the top 10 large ports, trains equipment monitoring and control, public transportation, factories, etc., industrial automation requirements.

The company was found by a team of enthusiastic entrepreneurs, data scientists, network engineers, etc., aiming to remove the barriers of global networks, and connecting everything easily with its cutting edge networking technologies.

R&D Staff Engineer, data scientic

Job level Senior
Work exp 5 Years To 7 Years
Education Doctorate or above
Language Chinese - Cantonese, Chinese - Mandarin, English
Location
Shatin
Employment type Full Time
Benefits 13-month pay, 5-day week, Medical plan, MPF, Stock option
Industry Information Technology
Job function Information Technology > System Architect
Published On 18/03/2020
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Responsibilities

1.Carry out data science projects to complement blockchain technology and related industry-specific application development and assist in maintenance after deployment

2. Perform data cleaning and processing, build predictive deep learning and machine learning models to meet business objectives

3. Work with the software development team to integrate models with blockchain and related applications.
e.g. implement on GPU platform and/or cloud.

4.Develop data-driven models and framework for blockchain

5. Oversee workflow automation and performance monitoring for deployment support where appropriate

Requirements

1. Degree in Computer Science, Electronic, Data Science, Physics or relevant discipline, PhD required.

2. Minimum 5 years of relevant work experience in deep learning as applied to image, face or fingerprint recognition, verification, or anomaly and fraud detection. Handwriting and OCR recognition experience a plus. Proven experience in applying machine learning algorithms.

3. Proficient in Python, hands-on familiarity with tools for the trade such as deep learning (e.g .Keras, Tensor Flow, Cuda) and data science (e.g.SQL, Pyspark,C/C++)

4. Provide mentoring and quality control of data engineers and help to coordinate project delivery according to business requirements and deliverables.