AI/ML Engineer

Overview

Build and deploy advanced AI solutions, focusing on GenAI and integration with SAP data on cloud platform (e.g: AWS, Azure, GCP).

Key Responsibilities

• Build and deploy ML/GenAI solutions such as document Q&A, copilots, embeddings, forecasting, and recommendation systems, chatbot using SAP data
• Develop retraining pipelines and integrate with data from SAP modules
• Design and implement custom RAG (Retrieval Augmented Generation) solutions for SAP data
• Research and apply new techniques in ML and GenAI combined with the SAP ecosystem
• Collaborate on use case delivery and model evaluation based on SAP

Requirements

• Minimum 3 years of experience in AI/ML field
• Experience with modern frameworks such as PyTorch, TensorFlow, or JAX
• Experience working with GenAI models, especially LLMs and vector embeddings
• Understanding of prompt engineering, RAG, and LLM fine-tuning
• Knowledge of Frontier models (GPT-4.x, Claude, Llama, Mistral) and open-source models
• Experience integrating AI with SAP systems is a significant advantage

Technical Skills

• ML/Deep Learning: PyTorch, TensorFlow, Hugging Face Transformers
• SAP AI Foundation: SAP AI Core, SAP AI Launchpad, SAP AI Business Services
• SAP Data Intelligence: Pipelines for ML workflows
• GenAI: LangChain, LlamaIndex, OpenAI API, Vertex AI
• SAP HANA Machine Learning: PAL, APL, and integrated ML libraries
• Programming languages: Python, R
• MLOps: Weight & Biases, MLflow, Kubeflow, SAP AI Business Services
• Vector databases: Pinecone, Weaviate, FAISS, Chroma
• SAP BTP AI Services: Document Information Extraction, Business Entity Recognition

Benefits

• Competitive base salary and KPI bonus.
• Attractive bonus program according to Company’s regulation.
• 100% of gross offer during probation period.
• Join full of insurance benefits as prescribed by Vietnamese Labor law after signing labor contract.
• Young, dynamic, professional working environment with its own corporate culture.
• Annually summer trip, teambuilding and company events.
• CMC Healthcare programs.
• 5 working days per week, from Monday – Friday.
• Opportunity to self-development training, encourage creativity and innovation
• A team of leaders and managers who value talent, helping employees maximize their capacity.