Specialist, Machine Learning & AI Operations

• At least 2 years of experience as an AI/ML Engineer, Research Engineer or in an equivalent role, with hands-on depth in at least one of NLP, LLM or Speech (ASR/TTS).
• Solid foundations in machine learning and deep learning, a working understanding of the Transformer architecture, and enough comfort with papers to take an idea from one and put it to work in code.
• Hands-on experience training or fine-tuning models end to end: preparing data, running experiments, choosing how quality is measured, and improving results on the basis of what you measured.
• Experience building at least one LLM-based system in practice - RAG, an agent, or something comparable - including how you went about evaluating whether it worked.
• An understanding that a model has to run in production: that latency, throughput and cost are part of the problem rather than someone else's afterthought.
• Proficiency in Python and hands-on experience with PyTorch or TensorFlow.
• Sound problem-solving, a collaborative way of working, and enough English to be comfortable with technical material.
PREFERRED QUALIFICATIONS
• Experience fine-tuning large language models (SFT, LoRA/QLoRA; RLHF/DPO a plus), including on multi-GPU setups.
• Experience with agent systems - tool calling, multi-step workflows, and the orchestration harness around them.
• Experience serving models under real traffic: high-performance stacks (vLLM, SGLang, Triton, RayServe or equivalent), batching and caching, or control of latency and infrastructure cost.
• Experience operating models in production under an MLOps discipline: monitoring, catching quality regressions, and shipping new versions.
• Publications, open-source contributions, or strong results in recognized competitions.
WHAT WE OFFER
• Compensation of up to VND 40,000,000 per month, negotiable according to capability and reviewed periodically against results.
• Bonus scheme, insurance and leave entitlement
• Compute and data resources dedicated to research and development work.
• An open working environment with genuine technical autonomy.