Machine Learning Engineer
Qode Open · verified Nov 1, 2026 At a glance
Mid-level Machine Learning Engineering role at Qode. Ho Chi Minh · full-time.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build LLM-based agents that handle multi-step reasoning, then deploy them for use
- Fine-tune language models with SFT and LoRA for specific application needs
- Run scalable machine learning pipelines on AWS and keep GenAI services available and performing well
- Connect deep learning models to existing products, working with teams across functions
- Track model results, investigate errors and make changes that improve accuracy and reliability
What you bring
- Four to five or more years working in machine learning, deep learning and AI development
- Hands-on LLM fine-tuning experience, including SFT and LoRA
- Strong AWS AI/ML skills and familiarity with PyTorch or TensorFlow
- Experience creating agent workflows that connect LLMs with external tools or APIs
- Professional spoken and written English and Vietnamese
Who this fits
This role suits a mid-level engineer comfortable taking ML work from model development through deployment and iteration. It is based in Ho Chi Minh City and described as hybrid. You should be able to start within one to two weeks.
From the employer
ML Engineer: AWS Agentic AI and Generative AI
Location: Ho Chi Minh City, Vietnam
Workplace Type: Hybrid
About the Role
We are seeking a highly skilled and motivated Machine Learning Engineer to join our innovative AI team. In this role, you will be at the forefront of developing cutting-edge Generative AI solutions. You will focus on building agentic AI workflows, fine-tuning Large Language Models (LLMs) using SFT (Supervised Fine-Tuning) and LoRA (Low-Rank Adaptation) techniques, and deploying scalable deep learning models on AWS. The ideal candidate is a problem-solver who thrives in fast-paced environments and is capable of bridging the gap between complex research and production-ready applications. You will play a critical role in shaping our AI strategy and delivering high-impact features to our global user base.
Key Responsibilities
- Design, develop, and deploy agentic AI systems that leverage LLMs to perform complex, multi-step reasoning tasks.
- Execute Supervised Fine-Tuning (SFT) and implement LoRA techniques to optimize model performance for domain-specific applications.
- Architect and maintain scalable machine learning pipelines on AWS, ensuring high availability and performance of GenAI services.
- Collaborate with cross-functional teams to integrate deep learning models into existing product ecosystems.
- Monitor model performance, conduct error analysis, and implement iterative improvements to enhance accuracy and reliability.
- Communicate technical concepts and project progress effectively to both technical and non-technical stakeholders in both English and Vietnamese.
Required Skills & Qualifications
- 4-5+ years of professional experience in Machine Learning, Deep Learning, and AI development.
- Proven expertise in working with LLMs, including fine-tuning methodologies like SFT and LoRA.
- Strong proficiency in AWS AI/ML services (e.g., SageMaker, Bedrock, Lambda, EC2).
- Deep understanding of modern deep learning frameworks such as PyTorch or TensorFlow.
- Experience in building agentic workflows and integrating external tools/APIs with LLMs.
- Excellent verbal and written communication skills in both English and Vietnamese.
- Ability to work independently and collaboratively in an agile environment with a focus on rapid delivery.
Additional Information
This is an urgent hiring requirement. We are looking for candidates who can join our team within 1-2 weeks. We offer a competitive compensation package, opportunities for professional growth, and the chance to work on state-of-the-art Generative AI projects. If you are passionate about pushing the boundaries of what AI can achieve and meet the qualifications above, we encourage you to apply immediately to be considered for this high-priority position.
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