Hire Machine Learning Engineers in Vietnam | Save Up to 70% on Staffing Costs

Machine Learning Engineers are crucial for designing, building, and deploying AI-driven solutions that power predictive analytics, recommendation systems, and automation across industries. They transform data into actionable insights, enabling smarter business decisions and operational efficiency. Hiring skilled ML Engineers locally can be expensive and highly competitive, especially for companies looking to scale quickly.

Vietnam offers a growing pool of experienced Machine Learning Engineers proficient in Python, TensorFlow, PyTorch, and cloud ML platforms. THIENTU BPO helps companies build dedicated offshore ML teams in Vietnam—cost-effective, fully integrated, and ready to deliver high-impact AI solutions.

What Is a Machine Learning Engineer?

A Machine Learning Engineer develops and deploys AI models that learn from data to solve business problems. They bridge the gap between data science and software engineering, implementing machine learning algorithms, building data pipelines, and integrating models into production systems.

Why Hire Machine Learning Engineers in Vietnam?

Vietnam is a leading destination for outsourcing across tech and data-driven roles. Here's why global companies trust Vietnam for offshore hiring:

• Educated and Skilled Talent
  Vietnam produces software engineers with strong expertise in AI, machine learning, and data analytics.

• Strong English and Work Culture Fit
  Many ML Engineers in Vietnam are proficient in English and familiar with international business practices.

• Lower Operational Costs
  Salaries are 30–70% lower than in the U.S., Singapore, or Europe, allowing you to hire top-tier talent affordably.

• Good Time Zone Coverage
  Vietnam’s working hours overlap with APAC, Europe, and U.S., enabling real-time collaboration.

Machine Learning Engineer Roles You Can Offshore

• Data Scientist / ML Engineer

• Deep Learning Specialist (NLP, Computer Vision)

• MLOps Engineer

• Predictive Analytics Engineer

• AI & Recommendation Systems Developer

Core Responsibilities Handled by Offshore ML Engineers

• Design, train, and deploy machine learning and deep learning models

• Build and maintain scalable data pipelines for training and inference

• Conduct feature engineering and model optimization

• Implement MLOps practices for model versioning, monitoring, and deployment

• Collaborate with data scientists, software engineers, and product teams

• Analyze model performance and iterate for improvement

• Ensure data security, privacy, and compliance standards are met

Top Skills to Look for in an Offshore Machine Learning Engineer

• Strong proficiency in Python, R, or Java

• Experience with ML/DL frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn

• Knowledge of cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML)

• Understanding of statistics, linear algebra, and probability

• Experience with data preprocessing, feature engineering, and model evaluation

• Familiarity with MLOps tools such as MLflow, Kubeflow, or Airflow

• Ability to collaborate with cross-functional teams and communicate insights in English

Salary Comparison Table: Vietnam vs USA vs Singapore

How THIENTU’s Proven Hiring Process Works

1. Define Your Needs
   Specify your AI/ML project goals, preferred frameworks, and infrastructure requirements. 

2. Review Qualified Candidates
   Receive a curated shortlist of pre-vetted Machine Learning Engineers in 5–7 business days.

3. Interview & Select
   Assess candidates via coding tests, ML case studies, or technical interviews.

4. Launch with Support
   THIENTU handles onboarding, HR, IT setup, compliance, and performance tracking for seamless integration.

Sample Job Description – Offshore Machine Learning Engineer

Key Responsibilities:

• Develop and deploy machine learning models for business applications

• Build scalable data pipelines for training and inference

• Conduct feature engineering and model optimization

• Implement MLOps for monitoring, versioning, and deployment

• Collaborate with data scientists, product teams, and software engineers

• Ensure data privacy and security compliance

• Maintain and improve models as new data becomes available

Essential Skills & Qualifications:

• 3+ years of experience in machine learning, AI, or data science

• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn)

• Knowledge of cloud ML platforms (AWS, GCP, Azure)

• Strong statistical, analytical, and problem-solving skills

• English proficiency for cross-team communication

FAQs

Can offshore ML Engineers handle deep learning projects?
Yes. Many specialize in NLP, computer vision, and advanced AI models.

Do they manage model deployment and MLOps?
Yes. Offshore ML Engineers can implement MLOps pipelines for scalable and monitored production systems.

How quickly can I hire a Machine Learning Engineer?
You can receive a shortlist in 5–7 business days, with onboarding in 10–14 days.

Can they work with cloud AI platforms?
Yes. Many have experience with AWS SageMaker, GCP Vertex AI, and Azure ML.

Which industries benefit most from offshore ML Engineers?
Finance, healthcare, eCommerce, logistics, SaaS, and gaming frequently leverage ML for competitive advantage.

Hire a Machine Learning Engineer in Vietnam Today

THIENTU BPO helps you hire skilled, cost-effective Machine Learning Engineers in Vietnam—ready to develop AI solutions, optimize data pipelines, and scale intelligent applications. Contact us at info@thientu.vn to start building your offshore ML team today.