เงื่อนไขการค้นหา

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Construction Monitoring, Safety Management, English

ประเภทงาน:

งานประจำ

• Performing all duties in compliance with plant policies, procedures, rules and regulations on operations, safety, conduct, and housekeeping.
• Protecting the owner s investment in machinery, equipment and facilities by exercising care, skill, training and knowledge.
• Continually check all phases of the operation for difficulties or irregularities, troubleshooting as necessary.
• Report discrepancies in operation and/or conditions in a timely manner to O&M Engineer and General Manager.
• Submit daily reports on facility operations. Maintain journals, logs, and various reports.
• Perform other duties as assigned by O&M Engineer and General Manager.
• Job Qualifications.
• Diploma of Technician or equivalent experience or higher.
• Able to work 12-hour shifts.
• Computer literate in Microsoft Word, Excel and Power Point.
• Have a driving license.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.