• Lynn Mary
  • Data Scientist (AI Factory Experience)

Data Scientist (AI Factory Experience)

Engineering Data Analyst AI/ML Data Analysis ML Data Science

Icon salary Salary
Negotiable
Icon Location Location
Ho Chi Minh

Benefits

Performance bonus Performance bonus
Laptop/desktop for works Laptop/desktop for works
Yearly salary review Yearly salary review
Other benefits Other benefits
Full social insurance Full social insurance
Flexible working time Flexible working time
Work-from-home Work-from-home

Job Overview And Responsibility

Key Responsibilities - Design and deploy AI/ML pipelines to automate finance processes (close, reconciliation, forecasting, tax analytics). - Develop agentic AI systems (multi-agent workflows with CrewAI, AutoGen, LangGraph, or similar). - Integrate AI solutions with enterprise platforms (ERP, BI tools, Dataiku, Google Vertex AI, Azure OpenAI). - Build supervised/unsupervised ML models (forecasting, anomaly detection, fraud/risk analysis). - Fine-tune LLMs on finance datasets with strict compliance and governance controls. - Implement monitoring, retraining, and performance management frameworks for models. - Translate finance workflows into measurable AI use-cases with ROI (e.g., >20% time savings, >30% accuracy uplift). - Deliver pilots in <90 days and scale to enterprise level within 6–12 months. - Work closely with process owners to ensure adoption and governance. - Ensure AI solutions meet audit, data privacy, and regulatory requirements. - Build explainability and traceability into deployed models.

Required Skills and Experience

- 4–7 years in data science / ML engineering with proven production deployments. - Exposure to finance/accounting processes (forecasting, close, compliance, treasury). - Hands-on experience with AI factory models: modular design, reusable components, orchestration frameworks. - Previous work in a shared services or multinational finance organization. - Proficient in Python (pandas, scikit-learn, PyTorch/TensorFlow), SQL, APIs. - Experience with agentic AI frameworks: CrewAI, AutoGen, LangChain, LangGraph, or similar. - Cloud deployment skills: Google Vertex AI, Azure ML, AWS Sagemaker, or equivalent. - Strong track record in delivering business productivity projects with measurable ROI. - Fluent English skills

Why Candidate should apply this position

ST Engineering is one of Asia's largest defense and engineering groups. It has also diversified over the years, and now supplies both military customers and commercial ones in over 100 countries, which cover its four core businesses -- aerospace, land systems, electronics and marine. - Meal allowance & transportation allowance - Laptop - 100% salary from probation - Training from probation - Free learning of all courses on LinkedIn e-learning - Private insurance for employees from probation - SHUI is paid on total Gross Base salary - Annual performance review - Annual salary review - Lots of periodic company gatherings and events.

Preferred skills and experiences

- Familiarity with Dataiku DSS or similar low-code AI factory platforms. - Experience with workflow automation (Power Automate, UiPath, n8n).

Report to

Head of Finance Transformation / FP&A Lead

Interview process

Take-home test -> 1-2 round of interviews with Hiring Manager

Lynn Mary

Headhunter | Recruiter
Verified
employee 584 candidates
cup 142 interviews
health 23 offers

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Lynn Mary

Headhunter | Recruiter
Verified
Icon employee 584 candidates
Icon cup 142 interviews
Icon health 23 offers
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