AI/ML Engineer
Problem Solving Time Management AI/ML Database
年収
Location
Job Overview And Responsibility
- 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
Required Skills and Experience
- 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 - ML/Deep Learning: PyTorch, TensorFlow, Hugging Face Transformers - Programming languages: Python, R - GenAI: LangChain, LlamaIndex, OpenAI API, Vertex AI - Vector databases: Pinecone, Weaviate, FAISS, Chroma
Why Candidate should apply this position
- 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.
Preferred skills and experiences
- SAP AI Foundation: SAP AI Core, SAP AI Launchpad, SAP AI Business Services - SAP Data Intelligence: Pipelines for ML workflows - SAP HANA Machine Learning: PAL, APL, and integrated ML libraries - MLOps: Weight & Biases, MLflow, Kubeflow, SAP AI Business Services - SAP BTP AI Services: Document Information Extraction, Business Entity Recognition
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