Xccelerate can not provide a visa.
Description
Data Science and Machine Learning Instructor
Xccelerate was founded with the mission of bridging the talent gap in Hong Kong. We enable our students to acquire the skills they deserve and forge the career of their dreams. We are accountable: Your success as a student is our success as a platform. We are a community: By joining an Xccelerate course, you will walk away with both valuable knowledge and relationships to take your career forward.
Data Science & Machine Learning Instructor
Reports To: Lead Data Science Instructor
We are currently looking for a Data Science & Machine Learning instructor.
Responsibilities and Duties
Teaching data science workflow and process
Preparing course materials and exercises in programming with Python, R and Software
Assisting students capstone ML projects
Required Skills
Strong programming skills in Python, Familiar with Packages Pandas, NumPy, Seaborn, Sci-kit learn.
Experience in using TensorFlow, Keras and PyTorch for deep learning is a must.
Knowledge in NLP, Computer Vision and Reinforcement Learning is required.
Knowledge in Statistical Learning and Modelling is required
Programming experience and skills in R is a plus
Business software in ML such as Microsoft Azure and Power BI is a plus
Good to have
Degree in Computer Science or Math or a related field.
Candidates with advanced degrees in related disciplines will be preferred.
3+ years of experience as Data Scientist/Machine, Learning Engineer/ Deep Learning.
Previous experience as educator and/or training provider will be preferred.
Fluent written and spoken English.
Personality
Alignment with our goal to help those who are passionate about technology but unable to find the right avenue.
Appreciating feedback to improve curriculum material.
Strong interest in state-of-the-art technology.
Ability to work as part of a team.
Open to new ideas.
Passionate about adult learning and education.
You will be teaching our Data Science & Machine Learning, Deep Learning courses.
We may also require occasional work on ad-hoc in-house projects.
You will also be asked to partake in external events to promote our courses and brand
All Personal data collected will be used for recruitment purpose only.
Equity part is negotiable.
Salary range / month : Negotiable
Startups have different perks to offer to talent. Here is their allocation of 100 points.
Flexible Role and Responsibility
Impact on Society
Compensation
Flexible hours
Flexible location
Created on: 2019/04/16
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