Artificial Intelligence Engineer

Job Title: Artificial Intelligence Engineer Company: NCS Group Job Category: Machine Learning Roles & Responsibilities: NCS is a leading AI Tech Services company. With a 15,000\-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. Job Description * Reproduce and optimise foundation model series (e.g., LLaVA, Qwen\-VL family) for production environments * Execute supervised fine\-tuning (SFT) and post\-training for domain\-specific content ecosystems including gaming, movies, automotive, and commercial advertising * Implement advanced training techniques including PEFT, LoRA, and quantization\-aware training * Design and deploy hierarchical Retrieval\-Augmented Generation (RAG) pipelines that enrich video understanding and enable in\-context retrieval * Build scalable vector search indexes (e.g., FAISS) supporting billions of embeddings * Optimise retrieval strategies including hybrid search, re\-ranking, and query expansion * Optimise large\-scale VLM and LLM serving using vLLM, TensorRT\-LLM, Triton, and ONNX Runtime * Implement dynamic batching, feature caching, and asynchronous scheduling to maximise GPU throughput * Monitor and tune production inference systems for latency, cost, and quality trade\-offs At NCS, you'll work alongside cross\-functional teams including AI Solution Architects, Data Engineers, and Product specialists to deliver transformative multimodal AI solutions. Your expertise will directly enhance our Video Intelligence Platform and support AI innovation across Public Service, Defence and Homeland Security, Healthcare and Transport, and other key sectors. Work Location: Singapore, Singapore Availability: Full time

Qualifications Experience Core Technical Skills * Deep expertise in deep learning fundamentals, transformer architectures, and multimodal fusion techniques * Proficiency in deep learning frameworks: PyTorch, Hugging Face ecosystem, DeepSpeed, PEFT, LlamaFactory * Strong programming capabilities in Python, SQL, Spark, and Linux/Git workflows * Hands\-on experience with vector search and retrieval infrastructure (FAISS, Multimodal RAG) * Familiarity with LLM/VLM serving and quantization toolkits (vLLM, TensorRT\-LLM, Triton) Preferred Qualifications * Industrial experience in large\-scale recommender systems, advertising technology, or content moderation/understanding ecosystems * Hands\-on expertise with reinforcement learning from human feedback (RLHF) or preference optimization (e.g., DPO, GRPO) * Published research or competitive achievements in top AI/ML venues or challenges (e.g., CVPR, NeurIPS, ICLR, Kaggle) * Experience with cloud ML platforms (AWS SageMaker, Azure ML, Google Vertex AI) * Knowledge of AI observability tools (Langfuse, Weights \& Biases, MLflow) Key Skills: Machine Learning, Python, PyTorch, Model Training, NLP, Computer Vision Salary: Not disclosed