AI Engineer (พร้อมเริ่มงาน)

Responsibilities

• Can independently look ahead beyond the given detail and provide a list of available options
• Assess exploratory data analysis (EDA) results to interpret the risks and potentials
• Applies knowledge of industry trends and best practices and picks up emerging technologies quickly by reading blogs and scientific papers
• Works with the team and can communicate status to managers
• Good time management and ability to balance various demands on their time

Qualifications

• Bachelor’s degree in Statistics, Computer Science, or a related field
• At least 3 years of experience
• Good command of English: read and write documents/blog
• Have a deep understanding of one or two field areas: text processing, speech processing, information retrieval, time-series, and geospatial knowledge

ML & Stats

• Build a problem statement and be able to form a plausible hypothesis
• Understands basic statistical testing, such as t-test
• Understand outlier detection algorithms
• Deep understanding of neural networks: architecture intuition and their use cases, base model, finetuning, and inference
• Develops deeper knowledge of multiple ML techniques (both traditional and deep learning), their strengths and weaknesses, and when each technique is appropriate

Software Engineering and Data Systems

• Writes clean, well-formatted, and well-structured code
• Good understanding of Docker container usage: build, run, and ship
• Experienced in ORM Framework, for example, Django and SQLAlchemy
• Be able to select a good enough database to serve the requirements
• Can design and develop a good enough data pipeline that can satisfy requirements, including extract-transform-load (ETL) and extract-load-transform (ELT)
• Sophisticated in job scheduling: cron jobs in Linux and Apache Airflow
• Understand how to organize and develop a new software package