7 дней назад
Data Scientist - AI Engineer - HCM (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Data Scientist - AI Engineer - HCM (AI): Researching and implementing AI and machine learning solutions across IT systems, business applications, and data management processes with an accent on model building, data analytics, and language-model technologies. Focus on evaluating AI/ML approaches, integrating Python-based models and cloud platforms, and improving reporting capabilities and customer experience.
Location: Nguyễn Huy Lượng, phường 14, Bình Thạnh, Thành phố Hồ Chí Minh, Vietnam
Company
SOCOTEC Vietnam provides technical support and expert services for testing, inspection, and certification projects in construction and infrastructure through the SOCOTEC Group.
What you will do
- Research and evaluate AI and machine learning technologies aligned with business needs.
- Implement AI solutions across IT systems, business applications, and data management processes.
- Collaborate with cross-functional teams to improve development and client reporting capabilities.
- Identify AI integration best practices and recommend ways to optimize services and improve customer experience.
Requirements
- Engineering degree or equivalent in Computer Science, Data Science, or a related field.
- Proven expertise in artificial intelligence, machine learning, and data analytics techniques, including regression, clustering, decision trees, and neural networks.
- Proficiency in Python with Pandas, NumPy, and Scikit-Learn.
- Experience with SQL databases and familiarity with AWS, Azure, or GCP.
- Strong analytical, problem-solving, model-building, communication, and interpersonal skills.
Nice to have
- Experience with large language models such as GPT and Claude 3, multi-agent systems, and prompt engineering.
- Knowledge of Hadoop or Spark.
- Knowledge of the construction or infrastructure sector.
Culture & Benefits
- Full-time employment with gross monthly salary, compulsory insurance, and annual salary review.
- 42-hour workweek with a 30-minute early finish every Friday and flexible working hours.
- 13 or 15 annual leave days depending on gender, increasing with length of service and seniority.
- 15 working-from-home days per year, team-building activities, and sports clubs.
- International collaboration, internal technical and language training, and opportunities for career development.
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