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Senior AI Engineer
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AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI. AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.
This position will be hosted at the Nanyang Technological University (NTU) and we welcome you to join our community. We are looking for a Senior AI Engineer to develop robust voice applications.
Key Responsibilities:
Model development: Design, train, and fine-tune state-of-the-art Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) models tailored to specific domains, accents, and multilingual contexts.
Pipeline Evaluation: Conduct rigorous testing and evaluation of voice pipelines
Voice Application Architecture and Engineering: Design voice applications that are scalable and have low latency
Job Requirements:
Master / PhD qualification degree in AI or related field
At least 9 years of relevant experiences in working on Speech AI / LLMs
Strong programming proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
Familiarity with modern speech libraries (e.g., Hugging Face, Whisper, Wav2Vec).
Experience with Natural Language Processing (NLP) to complement speech-to-text pipelines.
Experience with model deployment and containerization (e.g., Docker) in real-world environments.
We regret to inform that only shortlisted candidates will be notified.
Job ID: 151775141
Skills:
containerization , Apis, SAP BTP, Microservices, Kubernetes, SAP AI Launchpad, SAP AI Core, AI Prototyping, Azure AI Services, AWS AI Services, Developer tooling, SDKs, Cloud-native applications, Large Language Models
Skills:
Java, Rust, Typescript, AWS, Node.js, Kubernetes, Python, Apis, Microsoft Azure, agentic AI systems, retrieval-augmented generation, Go, infrastructure as code, observability platforms, secure software development, cloud-native software engineering, secrets management, LLM applications, AI engineering
Skills:
Effort Estimation, Gcp, Azure, Python, AWS, LangChain, agentic AI solutions, AI ML engineering, RAG patterns, ADK, agent design patterns, LangGraph, AutoGen, solution scoping, presales activities, agent evaluation techniques, Proposals, Microsoft Agent Framework, Pricing
Skills:
Docker, FastAPI, Python, Kubernetes, CI CD pipelines, Kubeflow, MLflow
Skills:
triton , Kubernetes, Python, Docker, retrieval evaluation, vLLM, model serving frameworks, transformer architecture, GPU scheduling, PEFT, hallucination mitigation, embedding model selection, Weaviate, LoRA, pgvector, TGI, NDCG, Ollama, MRR, MLflow, tokenisation, attention mechanisms, fine-tuning paradigms, chunking strategy, RAG systems, HuggingFace Transformers, Chroma, document ingestion
