Machine Learning Engineer (AI Pretraining Fundamentals)
Qode Open · verified Nov 1, 2026 At a glance
Mid-level AI Research 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 tasks requiring several reasoning steps
- Fine-tune language models with SFT and LoRA for specific application needs
- Create and maintain AWS pipelines that keep generative AI services available and performant
- Track model results, investigate errors and make changes to improve accuracy and reliability
- Connect deep learning models to existing products and explain progress in English and Vietnamese
What you bring
- At least four years of professional work in machine learning, deep learning and AI development
- You understand pretraining fundamentals and have hands-on experience fine-tuning LLMs with SFT or LoRA
- You can build agent workflows, connect external tools or APIs, and work with AWS AI/ML services
- You know PyTorch or TensorFlow and communicate professionally in both English and Vietnamese
Who this fits
This mid-level role suits an engineer who can develop models and take them into production, working independently and with cross-functional teams. The job is based in Ho Chi Minh City and is described as hybrid. You should be able to join within one to two weeks.
From the employer
ML Engineer: AWS Agentic AI & 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.
- Knowledgeable in pretraining fundamentals.
- 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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