1 месяц назад
Senior ML Engineer / Data Scientist (Computer Vision)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior ML Engineer / Data Scientist (Computer Vision): Lead the development of a computer vision proof of concept for object classification and product authenticity verification with an accent on image dataset preparation, deep learning model development, and performance evaluation. Focus on building an end-to-end prototype within 2–3 months, solving technical delivery challenges, and defining a path toward production scaling.
Location: Bangkok, Thailand; permanent position
Company
is an independent technology consulting firm providing technology guidance and solutions to businesses through teams across more than 60 countries.
What you will do
- Lead the development of a computer vision proof of concept for object classification and product authenticity verification.
- Coordinate with an internal team of 5–10 members to prepare, clean, label, and structure image datasets.
- Design, train, optimize, and evaluate machine learning and deep learning models.
- Deliver a first working prototype within 2–3 months and define success metrics.
- Recommend approaches for scaling the solution toward production.
- Communicate technical findings, progress, and recommendations to business and technical stakeholders while owning delivery.
Requirements
- 5–7+ years of experience as a Machine Learning Engineer, Data Scientist, or Computer Vision Specialist.
- Strong expertise in computer vision, image classification, and object detection.
- Hands-on experience with PyTorch, TensorFlow, OpenCV, or similar deep learning frameworks.
- Experience building end-to-end machine learning solutions, including data preparation, training, testing, deployment, and performance monitoring.
- Experience delivering proofs of concept, innovation projects, or machine learning prototypes.
- Strong problem-solving, communication, collaboration, and independent delivery skills.
Nice to have
- Fluent Thai.
- Good command of English for working in an international environment.
Culture & Benefits
- International environment with colleagues representing more than 110 nationalities.
- Internal Academy with more than 250 training modules.
- Career development supported by a strong focus on learning and growth.
- Regular afterwork gatherings, team-building events, and community activities.
- Opportunities to participate in CSR initiatives, including the WeCare Together program.
Hiring process
- Brief virtual or phone call.
- Approximately three interviews, depending on seniority.
- Potential case study, technical assessment, role play, or problem-solving exercise.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →