24 часа назад
Intern - Automation Development Engineer (Data Science/ML)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Intern - Automation Development Engineer (Data Science/ML) (Python/R, SQL): Designing analytics and machine learning projects for precision manufacturing, including predictive models, data pipelines, and engineering dashboards with an accent on statistical analysis, process intelligence, and operational relevance. Focus on validating models, analyzing manufacturing data, documenting methodologies, and presenting measurable results to engineering leadership.
Location: Onsite at BangPa-In Building 2, BangPa-in, Phra Nakhon Si Ayutthaya, Thailand
Company
develops large-scale data storage systems and infrastructure for AI-driven data platforms, cloud services, hyperscale data centers, and enterprise environments.
What you will do
- Design and execute a scoped analytics or machine learning project with measurable deliverables.
- Build or enhance data pipelines, predictive models, and dashboards for engineering teams.
- Apply statistical and machine learning techniques to precision manufacturing process data.
- Collaborate with process engineers to ensure analytics outputs are operationally relevant.
- Document methodologies and present findings to engineering leadership.
- Participate in structured internship assessments and individual development conversations.
Requirements
- Currently pursuing a Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or Engineering with an advanced analytics or AI specialization.
- Completed a Bachelor's degree in a technical field.
- Advanced proficiency in Python and/or R, with working knowledge of SQL.
- Active thesis or project in machine learning, data science, or applied analytics.
- Available for a structured 3–6 month internship.
- Strong written and verbal English communication skills.
Nice to have
- Research or thesis experience in machine learning, predictive modeling, or process analytics.
- Familiarity with cloud platforms such as AWS, Azure, or GCP, or with big data tools.
- Experience with time-series data, anomaly detection, sensor analytics, manufacturing, or industrial data.
- Publication, competition recognition, or open-source contribution in data or AI.
Culture & Benefits
- Structured early-career onboarding, mentorship, training, and development curriculum.
- Opportunity to work on meaningful data initiatives in a precision manufacturing environment.
- Strong performers may be considered for conversion to the ECT Data Analytics Master's track under the BEST Program.
- Inclusive environment focused on diversity, belonging, respect, and contribution.
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