Applied AI Machine Learning Engineer Cong Ty Tnhh Peregrine Management Viet Nam 3846

Top 3 Reasons To Join Us The Job Position Overview We are seeking a motivated Applied AI / Machine Learning Engineer to help develop AI-driven applications supporting advanced manufacturing and industrial process improvement initiatives. In this role, you will design and build machine learning models, AI-assisted applications, and analytical systems that leverage operational and manufacturing data to improve process understanding, optimization, and decision-making. Working alongside software engineers and manufacturing specialists, you will help build practical AI systems with measurable operational impact in real-world industrial environments. Key Responsibilities Design, build, and maintain AI/ML applications supporting industrial and manufacturing process development Develop predictive models, analytical tools, and AI-assisted workflows using operational and manufacturing data Perform data analysis and feature engineering to support model development and optimization Fine-tune and deploy LLMs and AI-assisted systems for domain-specific industrial applications Develop and manage vector database and retrieval systems supporting RAG-based applications Collaborate with data systems engineers to define data structures, pipelines, and deployment requirements Validate and optimize AI model performance against real-world operational outcomes Create lightweight user-facing interfaces or APIs supporting AI-assisted workflows Document model architectures, training methods, testing results, and technical workflows Participate in experimentation, troubleshooting, and continuous improvement activities Your Skills and Experience Required Qualifications Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI/ML, or a related technical field 5+ years of relevant professional experience in AI/ML engineering, software engineering, or data science Strong proficiency in Python programming Experience developing and deploying machine learning models in production or operational environments Familiarity with machine learning concepts, NLP, neural networks, and model evaluation techniques Experience working with SQL databases (PostgreSQL preferred) Ability to work collaboratively with cross-functional engineering teams Strong problem-solving capability and ability to work within partially defined technical problem spaces Strong written and verbal communication skills in English Preferred Qualifications Experience with AI orchestration or pipeline frameworks (Haystack AI, LangChain, or similar) Experience with vector databases (ChromaDB, Weaviate, Pinecone, Milvus, or FAISS) Experience fine-tuning and deploying open-source LLMs Familiarity with retrieval-augmented generation (RAG) systems Experience with model optimization for edge deployment Familiarity with Docker, Linux, and containerized environments Experience building user-facing AI-assisted applications or interfaces Experience applying AI/ML within manufacturing, industrial, or operational environments Experience working in international or cross-functional engineering teams Technical Skills Summary LANGUAGES Python (primary), SQL, JavaScript/TypeScript (basic) AI/ML FRAMEWORKS Haystack AI, LangChain, Hugging Face Transformers, PyTorch or TensorFlow VECTOR DATABASES ChromaDB, Weaviate, FAISS, Pinecone, or similar LLM TOOLS Local LLM hosting (Ollama, vLLM, llama.cpp) Fine-tuning techniques (LoRA, QLoRA) Model formats: GGUF, ONNX EDGE & OPTIMIZATION Quantization, pruning, distillation, ONNX Runtime, TensorRT DATABASES PostgreSQL, SQL querying and schema design FRONT-END Basic UI/API development using frameworks such as Django, Nuxt.js, or Vue.js INFRASTRUCTURE Docker, Docker Compose, Linux, on-premise/edge deployment environments Soft Skills Intellectual curiosity and eagerness to learn industrial and manufacturing processes Ability to explain technical concepts clearly to non-technical stakeholders Self-motivated with ability to work independently and manage priorities Collaborative mindset and comfort working in small, cross-functional engineering teams Attention to detail and commitment to reproducible, well-documented work Education Required: Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related STEM field Preferred: Relevant graduate coursework or Master’s degree Relevant bootcamp certificates, portfolio projects, open-source contributions, or deployed AI systems are valued Why You'll Love Working Here 13th month salary 18 days of paid time off per year. Holiday pay Professional development opportunities. Annual company trip. Private health insurance + annual health check