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Senior Machine Learning Engineer
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (AI Engineering): Develop and deploy full-cycle AI-based anti-fraud products including continuous training, model evaluation, deployment, and automated re-training processes. Focus on building scalable ML pipelines, cloud platform integration, and improving model performance in a fast-paced, regulated environment.
Location: Ho Chi Minh, Vietnam (hybrid work model)
Company
is a tech unicorn specializing in geolocation, cybersecurity, and anti-fraud solutions trusted globally for regulatory compliance and fraud prevention.
What you will do
- Develop end-to-end AI/ML pipelines with strong understanding of AI lifecycle and cloud platforms.
- Leverage data insights to guide product strategy and identify feature opportunities.
- Collaborate with product, engineering, and operations teams to translate needs into analytical requirements and communicate findings.
- Automate model re-training and maintain model tracking systems.
- Monitor and improve model performance continuously.
- Work closely with data engineering and data science teams to define best coding practices and write technical documentation.
Requirements
- Location: Must be based in or near Ho Chi Minh, Vietnam with hybrid work arrangement.
- 8+ years experience in data science product development and ML system deployment in cloud environments (AWS, GCP).
- Expertise in SQL, NoSQL, data warehousing, and advanced programming in Python or R.
- Experience with ML frameworks (scikit-learn, XGBoost) and deep learning frameworks (PyTorch, TensorFlow, MXNet).
- Strong background in predictive/statistical modeling and all phases of ML pipeline.
- Experience building CI/CD pipelines (MLflow or similar) and working with distributed compute/storage (Databricks, Spark, PySpark).
- Excellent communication skills and ability to work in fast-paced, dynamic environments.
Nice to have
- Experience in online gaming, financial services, or other high-risk/regulated industries.
- Deep knowledge of anti-fraud techniques and industry best practices.
Culture & Benefits
- Hybrid working mode with modern office in District 1, Ho Chi Minh City.
- Professional development budget and learning opportunities.
- 20 annual leave days, 5 sick leave days, premium health insurance.
- Competitive salary with bonuses, social and health insurance contributions.
- Annual salary review, company trips, team-building activities, and in-office snacks.
- International working environment with a focus on integrity, inclusion, and collaboration.