Company reviews about ‘Good Life Good Work Good Pay Good Community’

Kaopanwa Co.,Ltd

About Company

KAOPANWA CO., LTD. was established in 2014 by a group of IT experts specializing in several different areas; Network, System and Security.

In the first place, the aim of the company was to provide product all Microsoft? solution help companies be stable, strong, consultant and faster the system was beyond by professional.

All of our staff are highly experienced and professionally certified by each product; such as MCSA, MCSE, MCT, MCITPC etc.

Locationเลขที่ 30 อาคารอิเมจินสเปซ ห้องเลขที่ 1-3 ชั้นที่ 5 ซอยอินทามระ 18 แขวงรัชดาภิเษก เขตดินแดง กรุงเทพมหานคร 10400

Contact personHR

Telephone0-2196-9780 Fax 0-2196-9760

Website

https://www.kaopanwa.co.th/

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Employee reviews

Human Resources>1 years, Current

5.0

Good Life4.6

Good Work4.5

Good Pay4.5

Good Society4.2

องค์กรที่หยิบยื่นโอกาสแสดงความสามารถ มีพื้นที่ให้สร้างผลงาน แค่อย่าหยุดพัฒนา แค่อย่าหยุดเรียนรู้ตั้งแต่เข้ามาเป็นส่วนหนึ่งของบริษัท รู้สึกเหมือนได้อยู่บ้านอีกหลัง ได้รู้จักคุ้นเคยกับ เพื่อนร่วมงานที่คอยช่วยเหลือกันในทุกๆเรื่อง บริษัทดูแลพนักงานได้ดี เปิดรับฟัง ไม่ยอมแพ้ต่อปัญหาต่างๆและปรับปรุงให้ดียิ่งๆ ขึ้น ผู้บริหารเข้าถึงได้ ไม่มีกรอบแบ่งกั้น มากกว่าความเป็นพี่เป็นน้อง คือความหวังดีที่อยากให้ทุกคนเติบโตและพัฒนา เป็นคนที่เก่งขึ้นและดีขึ้น ร่วมแรงร่วมใจไปด้วยกันได้ไกล

Good Life

Vacation Leave

Easiest to take a leave at work

Supports the development of employees' quality of life

5/5

Supports the development of vision and personal lifestyle

4/5

Working hours per day

Good Work

Challenge

5/5

Opportunity to perform important tasks

5/5

Encourages professionalism

4/5

Standard management practice

4/5

Good Pay

Salary increase

Bonus per year

Perks and benefits satisfaction

5/5

Pay level

Group of companies with slightly higher-than-average salaries

Good Society

Workplace community

4/5

Politics

Low

Colleagues

5/5

Supervision by superiors

4/5

19/07/2024

Read all reviews ofKaopanwa Co.,Ltd

AI Researcher, AI Tester

Kaopanwa Co.,Ltd

08/06/2025•

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Basic Requirements

Full Time

1 - 3 Year

Bangkok and its Vicinity

Bachelor's Degree

Depend on qualifications and experience

Responsibilities

Job Description:

- Lead and manage AI development and research activities, focusing on testing and optimizing various AI models and technologies.

- Stay up to date with the latest AI advancements, continuously exploring new tools, models, and techniques.

- Conduct hands-on research to develop innovative AI solutions for real-world applications.

- Collaborate with engineers, scientists, and industry experts to create, test, and refine AI models.

- Develop proof of concepts for AI-based solutions, pushing the boundaries of AI capabilities.

- Experiment with deep learning models and apply them to diverse projects across multiple industries.

- Share your insights through technical writing, knowledge-sharing sessions, and contributing to AI communities.

- Work independently on research tasks, managing your own projects and initiatives with minimal supervision.

Requirements

Qualifications:

- Strong passion for coding and testing new AI technologies, with hands-on experience in AI, machine learning, deep learning, PyTorch, Python, and Natural Language Processing (NLP).

- Expertise in areas such as NLP, computer vision, recommendation systems, conversational AI, or reinforcement learning.

- Proven experience in applying AI solutions to solve practical problems.

- Strong programming skills in Python, with experience using libraries like Numpy, Pandas, and Matplotlib.

- Excellent analytical thinking and problem-solving abilities.

- Strong communication skills in English (speaking, reading, listening, and writing).

- Ability to work independently, managing tasks and research initiatives with minimal guidance.

- Junior-level candidates with a passion for AI and a willingness to learn are also welcome to apply.

- A team player who can collaborate well with others while contributing new ideas.

- Knowledge of algorithms, data structures, and statistical learning theory is a plus.

Welfare and Benefits

Birth Day Leave
Personal computer allowance
Provident Fund
Staff training and development
Work from home
5-day work week
Social security
Health insurance
Accident Insurance
Ordination leave
Funeral payment support
Annual trip or party
Performance/results-based bonus