Hire Machine Learning Engineers in Vietnam | Offshore Staffing by THIENTU BPO

Machine Learning (ML) Engineers are essential for transforming raw data into actionable insights, predictive models, and intelligent systems. Their expertise drives automation, improves decision-making, and supports product innovation, directly impacting business growth. Hiring experienced ML engineers locally can be challenging due to high demand, limited talent, and steep salaries.

Vietnam offers a growing pool of skilled ML engineers proficient in Python, TensorFlow, PyTorch, and cloud-based AI solutions. THIENTU BPO helps companies build dedicated offshore ML teams in Vietnam—cost-effective, fully integrated, and ready to scale with complete operational support.

What Is a Machine Learning Engineer?

A Machine Learning Engineer designs, develops, and deploys ML models and AI systems. They work closely with data scientists, software engineers, and product teams to implement algorithms, train models, and integrate AI solutions into applications. Their role supports predictive analytics, recommendation engines, natural language processing, and computer vision systems.

Why Hire Machine Learning Engineers in Vietnam?

Vietnam has become a preferred destination for offshore development and AI solutions:

• Skilled and Educated Workforce
  A large pool of engineers proficient in Python, TensorFlow, PyTorch, scikit-learn, and cloud AI platforms.

• English Proficiency and Global Readiness
  Many engineers are fluent in English and accustomed to Western collaboration and software development practices.

• Lower Operational Costs
  Vietnam salaries are 30–70% lower than in the US, Singapore, or Europe, offering cost-effective hiring.

• Cost-Effective Talent Solutions
  Access highly skilled ML engineers without compromising quality.

• Supportive Business Environment
  Government policies support IT, AI, and digital innovation, simplifying offshore operations.

• Time Zone Flexibility
  Teams overlap with APAC, Europe, and North America for real-time collaboration.

Machine Learning Engineer Roles You Can Hire

• Junior ML Engineer

• Senior ML Engineer

• NLP Engineer

• Computer Vision Engineer

• Deep Learning Engineer

• Data & ML Pipeline Engineer

What Your Offshore Machine Learning Engineer Can Support

• Develop and deploy ML models for predictions, recommendations, and automation

• Build and maintain data pipelines and AI-ready datasets

• Implement NLP, computer vision, or deep learning solutions

• Optimize model performance and ensure scalability

• Collaborate with software engineers and product teams

• Monitor, evaluate, and improve ML systems in production

Hire Machine Learning Engineers with the Right Skills

• Proficiency in Python, R, or Java

• Experience with ML frameworks like TensorFlow, PyTorch, scikit-learn

• Knowledge of data engineering, SQL/NoSQL, and big data platforms

• Familiarity with cloud platforms (AWS, GCP, Azure) for ML deployment

• Strong problem-solving, communication, and collaboration skills

• Ability to work independently and deliver production-ready solutions

Salary Comparison Table: Vietnam vs USA vs Singapore

Note: Salary ranges are estimates as of August 2025. Sources: LinkedIn, Glassdoor, VietnamWorks.

How THIENTU’s Proven Hiring Process Works

1. Define Your Needs
   Specify ML expertise, programming languages, frameworks, and project requirements.

2. Review Qualified Candidates
   Receive a curated shortlist of pre-vetted ML engineers in 5–7 business days.

3. Interview & Select
   Evaluate candidates via coding tests, model projects, and technical interviews.

4. Launch with Support
   THIENTU manages onboarding, secure access, compliance, and ongoing performance tracking.

Why Hire Machine Learning Engineers in Vietnam with THIENTU BPO

• Award-Winning Excellence: Recognized for outstanding staffing quality and client satisfaction.

• Experienced Team: Skilled in building offshore ML and AI teams tailored to client needs.

• Quality and Security: ISO/IEC 27001:2022 and ISO 9001:2015 certified.

• Comprehensive Support: Full HR, payroll, IT infrastructure, and administrative services.

• Rapid Implementation: Recruit and onboard dedicated teams quickly.

• Flexible and Scalable Solutions: Teams scale seamlessly with business growth.

• Transparent SLAs: Clear agreements ensuring accountability and consistent delivery.

Sample Job Description – Offshore Machine Learning Engineer

Key Responsibilities:

• Design, implement, and deploy ML models

• Build and maintain AI-ready datasets and data pipelines

• Optimize model performance and scalability

• Develop NLP, computer vision, or recommendation systems

• Collaborate with engineers, product, and data teams

• Participate in agile development processes

Essential Skills & Qualifications:

• Strong proficiency in Python, R, or Java

• Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn

• Knowledge of SQL/NoSQL databases, big data, and cloud ML platforms

• Familiarity with NLP, computer vision, or deep learning solutions

• Problem-solving, collaboration, and communication skills

• Remote-work readiness and ability to deliver production-quality ML solutions

FAQs

Can offshore ML engineers handle large-scale AI projects?

Yes, they are experienced in building scalable ML pipelines and deploying production-ready models.

How quickly can THIENTU provide qualified ML candidates?

A curated shortlist is available in 5–7 business days.

Do offshore ML engineers work directly with my team?

Yes, they integrate fully into your team and follow your workflows.

How does THIENTU ensure data security?

All processes comply with ISO-certified standards and industry best practices.

Can ML engineers work with cloud AI services?

Absolutely, they are proficient in AWS, GCP, and Azure AI services.

Build Your Offshore Machine Learning Team in Vietnam
THIENTU BPO helps you hire top Machine Learning Engineers to create AI-driven solutions, improve decision-making, and scale operations efficiently. Contact us today to start building your dedicated offshore ML team.