Responsibilities
Working with large and complex datasets, including but not limited to, social media texts, images, and geo-locations.
Developing and evaluating AI models for different use cases in a continuous delivery environment.
Designing new dataset and preparing data for new applications.
Extending and maintaining AI automation in the organization.
Qualifications
Applicants from any educational program are welcome (our team has people from anthropology, computer science, industrial engineering, and linguistics training).
Python, basic regular expression, and basic SQL are preferred.
Fluently explain how your code/model is working and why you designed it this way
Experienced in at least one of the following areas:
Computer vision
Information retrieval,
Natural language processing
Pattern recognition
Internship and self-directed learning projects can be counted
Excellent problem solving, critical thinking, and interpersonal skills
Experiences in the following skill is a plus
Good understanding on basic mathematics and statistic
Experiences in some of these data analysis libraries and machine learning architectures, like Caffe2, MXNet, pandas, Scikit-learn, TensorFlow, and Torch
Experiences in Unix-based server and cloud platform management (AWS,Google Cloud)
Experiences in software development with a virtual environment or container like Docker or Python's venv
Working with large and complex datasets, including but not limited to, social media texts, images, and geo-locations.
Developing and evaluating AI models for different use cases in a continuous delivery environment.
Designing new dataset and preparing data for new applications.
Extending and maintaining AI automation in the organization.
Qualifications
Applicants from any educational program are welcome (our team has people from anthropology, computer science, industrial engineering, and linguistics training).
Python, basic regular expression, and basic SQL are preferred.
Fluently explain how your code/model is working and why you designed it this way
Experienced in at least one of the following areas:
Computer vision
Information retrieval,
Natural language processing
Pattern recognition
Internship and self-directed learning projects can be counted
Excellent problem solving, critical thinking, and interpersonal skills
Experiences in the following skill is a plus
Good understanding on basic mathematics and statistic
Experiences in some of these data analysis libraries and machine learning architectures, like Caffe2, MXNet, pandas, Scikit-learn, TensorFlow, and Torch
Experiences in Unix-based server and cloud platform management (AWS,Google Cloud)
Experiences in software development with a virtual environment or container like Docker or Python's venv
ส่งรายชื่อติดต่อโปรไฟล์
Conicle Co., Ltd.
แนะนำ บริษัท
Conicle Co., Ltd. งาน
Phayathai
ตำแหน่ง Machine Learning engineering ได้รับคัดเลือกจาก Conicle Co., Ltd. บริษัท ที่ Joboko.com จะสังเคราะห์เงินเดือนของ ฿28,000-฿40,000 โดยอัตโนมัติ ค้นหาตำแหน่งงานเพิ่มเติมสำหรับ บริษัท Machine Learning Engineering หรือ Conicle Co., Ltd. ในลิงก์ บน
แนะนำ บริษัท
Conicle Co., Ltd. งาน
Phayathai