Machine Learning Engineer

7 days ago


Singapore FPT ASIA PACIFIC PTE. LTD. Full time

Machine Learning Engineer We are seeking a Machine Learning Engineer to help prototype, evaluate, and operationalize emerging AI technologies for airport use cases. You will work hands‑on with LLMs , RAG pipelines , and AI agents , helping the team rapidly test hypotheses, build proofs of concept (PoCs), and deploy pilot systems in real operational contexts. Key Responsibilities Prototype and evaluate foundation and multimodal models (e.g., GPT‑4/5, Claude, Gemini, Llama 3, Mistral). Implement retrieval‑augmented generation (RAG) workflows using vector databases (FAISS, Pinecone, Weaviate). Fine‑tune or adapt models using LoRA and PEFT techniques for airport‑specific data. Explore agentic AI tools (e.g., LangChain , AutoGen , CrewAI , LangGraph ) to automate operational tasks. Build lightweight GenAI microservices with Python , FastAPI , and Docker for PoC deployment. Work with cloud platforms (AWS, GCP) for rapid model hosting and experimentation. Collaborate with data scientists and operations teams to test solutions in real‑world settings. Document and share results, experiments, and learnings for future scalability. Qualifications Bachelors or Masters degree in Computer Science , Machine Learning , or related fields. 2 - 5 years of experience in ML / GenAI development or applied research. Proficiency in Python , PyTorch , and Transformers . Hands‑on experience with LLM APIs , LangChain , or LlamaIndex . Hands‑on experience with cloud ML platforms (AWS Sagemaker, Bedrock, GCP Vertex AI). Comfortable with rapid prototyping , experimentation, and iterative design. Nice-to-have Exposure to multimodal or agentic AI systems. Understanding of prompt design , evaluation metrics , or hallucination detection . #J-18808-Ljbffr



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