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Position

Machine Learning Mentor

- Information

Job Description

NABLAS is recruiting Teaching Assistants to support the AI talent development course "iLect."


★ About iLect

iLect primarily offers data scientist courses, deep learning courses, and project workshops to engineers from listed companies.

(iLect: https://www.ilect.net)


Key Responsibilities:

- Answering questions from course participants.

- Mentoring course participants and assisting in breakout room sessions.

- Implementing community engagement initiatives.

- Providing feedback and grading on reports and assignments.

- Assisting in other related course operations.

Key Requirements

Data Scientist Course


- Experience working on research and development tasks on Linux servers

- Practical experience with Python

- Experience using data analysis libraries (NumPy, Pandas, Matplotlib, scikit-learn, etc.)

- Visualization

- Machine learning

- Experience in data analysis using statistics, big data, machine learning, or related knowledge

- Understanding of machine learning theory (equivalent to content in PRML)

- Deep Learning Course

- Experience working on research and development tasks on Linux servers

- Practical experience with Python

- Experience using data analysis libraries (NumPy, Pandas, Matplotlib, scikit-learn, etc.)

- Coding experience using frameworks (PyTorch, Keras, etc.)

- Knowledge of basic mathematics including calculus, linear algebra, and probability statistics

- Theoretical understanding of machine learning and deep learning (computer vision, natural language processing, generative models, reinforcement learning, etc.)

- Experience implementing deep learning

- Experience in data analysis using statistics, big data, machine learning, deep learning, or related knowledge


Example Working Hours (common for each course):

As you will be working as a short-term intern, you can work according to your preferences.

Example: 1 day per month, 5-8 hours, total 5-8 hours

Example: 15 days per month, 5-8 hours, total 75-120 hours


You can also participate in post-course networking events and study sessions hosted by our AI engineers.

You'll have the opportunity to interact with project members engaged in cutting-edge research and development, providing you with a stimulating internship environment.

Depending on your preferences, you may also have the opportunity to join in ongoing curriculum development, research, and development tasks.

Additional skills

  • Experience in developing deep learning algorithms based on CNNs, GANs, and generative models
  • Experience creating datasets
  • Experience participating in application or system development projects
  • <Deep Learning Mentor>
  • Experience in image processing, natural language processing, and sequence data analysis

<Project Workshop Mentor>

  • Experience driving AI projects and involvement as a team member

-Information

Contract

Outsourcing / Part-time (negotiable)

Salary

To be determined based on experience and ability

Location

Full remote is available.

Office : 1F Hongo Tsuna Building, 6-17-9 Hongo, Bunkyo-ku, Tokyo

Work Hours

Shift work is required

Holidays

  • 2 days off per week
  • National holidays
  • Year-end and New Year holidays (December 30 - January 3)
  • Annual paid vacations

 Allowances

  • Overtime allowance
  • Commuting allowance
  • Salary increase (as needed)

*Varies for some positions.

Benefits

  • Kaggle and AtCoder support system
  • Use of Kilter Board
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