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Data Scientist, Bioengineering
Build ML pipelines that turn raw bioengineering data into insights, guiding synthetic biology experiments and accelerating molecule discovery with ultrasound and AI.
Gen AI ML Engineer
Design and deploy scalable GenAI and ML models, including RAG pipelines and multi-agent systems, using frameworks like LangChain and Hugging Face, while collaborating with cross-functional teams to integrate AI solutions into enterprise products.
Data Scientist, Market Growth (Lifecycle)
Build and optimize ML models for crypto marketing: predict user behavior, forecast LTV, and allocate ad spend to drive growth on Binance’s exchange platform.
Machine Learning Engineer – Feed Recommendation Singapore
Build and optimize large-scale feed recommendation systems using ML to improve user engagement and retention for a social media platform.
Senior/ Machine Learning Engineer
Build and deploy ML models in Python/SQL, from EDA to production APIs, and collaborate with engineering to scale AI solutions.
Senior Machine Learning Engineer
Build and deploy production-grade LLM systems, fine-tuning models and orchestrating agentic workflows to solve real-world challenges in energy and infrastructure.
Machine Learning Engineer (Speech/Audio) - Singapore
Build and maintain speech/audio data pipelines and fine-tune SpeechLLM models to improve ASR accuracy for code-switching, names, and product terms.
Senior Data Scientist
Designs and deploys ML/AI models (TensorFlow, PyTorch) to analyze petabyte-scale data, run A/B tests, and build recommendation systems for an AI-driven product company.
AI/ML Engineer
Build production-grade AI architecture blueprints and open-source Quickstarts with Python, PyTorch, and Kubernetes, focusing on enterprise deployment, security, and regulated environments.
AI/ML Engineer (Full-Time)
Build and run ML experiments for a tactile AI foundation model, processing sensor data from wearables and robotics to train novel models across industries like logistics and healthcare.
Senior Machine Learning Engineer
Build and deploy ML models and LLM agents for beauty ecommerce, including recommendation engines and real-time APIs using PyTorch, FastAPI, and GCP VertexAI.
AI-Driven Supply Chain Data Scientist
Develop AI-driven models to optimize supply chain operations using PyTorch and deep learning, turning data patterns into actionable insights for Infineon Technologies in Singapore.
AI Engineer
Design and deploy AI models (LLMs, CV, Agentic AI) from research to production APIs, build RAG pipelines, and integrate solutions with core systems.
Senior Data Scientist
Build and deploy AI/ML models (NLP, GenAI, LLMs) using Python, TensorFlow/PyTorch, and cloud platforms to solve business problems and drive data-driven decisions.
Senior Data Scientist
Build and deploy ML models (propensity, recommendation, LTV) on AWS SageMaker and use LLMs for personalisation and analytics to drive revenue growth in a digital bank.
[EAF] Lead AI Engineer
Lead a team to design, build, and deploy AI/ML models (computer vision, GenAI, NLP) using TensorFlow/PyTorch and MLOps practices, while mentoring engineers and owning full model lifecycles.
Member of Technical Staff — Pretraining Infra (Experienced)
Build and scale distributed training infrastructure for large-scale AI avatar models, optimizing GPU clusters, parallelism, and multimodal data pipelines for real-time, full-duplex training.
Member of Technical Staff — Model Optimization and Inference (New Grad)
Optimize and deploy real-time AI avatars by accelerating LLM, audio, and diffusion model inference to sub-500ms latency using quantization, KV cache tuning, and custom kernels.
Member of Technical Staff — Model Optimization and Inference (Experienced)
Optimize and deploy real-time AI avatar models for sub-500ms latency, focusing on KV cache, quantization, and kernel-level acceleration across LLMs, audio, and diffusion components.
Machine Learning Specialist
Own the full AI lifecycle: research and fine-tune models, build production pipelines, and deploy scalable APIs that power credit scoring, fraud detection, and personalization.