Data Scientist/ AI Engineer [Eng fluent]

• Performance Review: Annual salary review based on performance.
• Bonuses: 13th-month salary and holiday bonuses as per company policy.
• Annual company trip (5 million VND/person), monthly teambuilding allowance
• Full social insurance coverage & Annual health check-ups at top hospitals.
• Comprehensive support for employees and their families: birthday, marriage, childbirth, illness, etc.
• All necessary work equipment and devices are provided.
• Diverse sports and cultural activities, including clubs for football, cycling, badminton, etc.
• Instructor allowance and special awards for training and learning achievements, such as “Monthly Learning Star,” “Outstanding Lecturer,” and “Annual Learning Star.”

• ML and Predictive analytics Expertise: Proven experience in developing end to end ML models using a range of algorithms like traditional ML, time series, and deep learning models.
• Business Problem Solving: Strong business understanding and acumen with the ability to translate complex business problems into effective AI/DS solutions and deliver measurable impact.
• Technical Proficiency: Excellent command of Python and PySpark is mandatory, with strong experience in production-grade model development.
• Communication & Collaboration: Effective verbal and written communication skills, with the ability to clearly explain complex technical concepts to business and technical stakeholders.
• GenAI Capabilities (Plus): Experience using vibe coding for efficiency and productivity gains. Experience in Agentic AI usage for building modules like EDA Agent, Insights Agent, Model Monitoring Agent etc…
• Domain Experience (Plus): Prior experience in the healthcare domain is highly desirable.
• Overall Experience: 3+ years of overall experience in data science roles., * GenAI & NLP Expertise: Proven experience in developing GenAI solutions, including 2+ years of hands-on prompt engineering and building end-to-end GenAI workflows. Strong background (5+ years) in NLP, Transformers, and deep learning models.
• Business Problem Solving: Strong business understanding and acumen with the ability to translate complex business problems into effective AI/DS solutions and deliver measurable impact.
• Technical Proficiency: Excellent command of Python and PySpark is mandatory, with strong experience in production-grade model development.
• Communication & Collaboration: Effective verbal and written communication skills, with the ability to clearly explain complex technical concepts to business and technical stakeholders.
• Advanced AI Capabilities (Plus): Ability to independently drive LLM or RAG, GenAI, Agentic AI, and NLP use cases, including end to end model development and application in real business scenarios.
• Domain Experience (Plus): Prior experience in the healthcare domain is highly desirable.
• Overall Experience: 3+ years of overall experience in data science / AI roles.NoteKeywords: Azure, AI Engineer, Machine Learning

Scope of work

• We’re looking for Data Scientist with ambition, resilience and passion for healthcare, insurance, wellness and digital technology. As a fast-growing business with the ambition of making people and communities across Asia healthier, we have exciting career opportunities available to help us achieve our vision.
• The client is a leading health technology and analytics organisation, providing our customers with integrated solutions to improve outcomes for individuals and the sustainability of health systems. They aim to be a trusted custodian of Asia’s largest repository of health data, unifying financial, clinical, operational and behavioural data to empower their customers with insights that highlight opportunities to deliver better value and care outcomes. The vision is to be a leading digital health technology and integrated solutions business.
• If you are a passionate and innovative individual who thrives in a collaborative environment, where courage is celebrated, and customer focus is paramount, we invite you to join our team. Together, we will shape the future with our unwavering commitment to excellence and the determination to make a lasting impact in the industry.