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Senior Machine Learning Engineer
Build and own core ML systems for a proactive AI assistant that handles multi-step reasoning, tool interactions, and long-running workflows in production using Python, PyTorch/JAX, and GPU infrastructure.
Machine Learning Engineer, Integrations
Build and integrate computer-vision models into client stacks using PyTorch, OpenCV, and Gradio; prototype cutting-edge algorithms and ship them in Datature’s MLOps platform.
AI Scientist - LLM & AI Agent
Build and deploy modular AI agents using LangGraph, MCP, and RAG for fintech workflows, focusing on reasoning, memory, and multi-agent orchestration.
Lead Machine Learning Engineer
Lead the design and delivery of end-to-end scalable machine learning systems using Python, TensorFlow, and cloud platforms, while mentoring teams and shaping ML strategy for high-stakes client projects.
Senior Machine Learning Engineer
Build and own core ML systems for a proactive AI chat app, focusing on long-running workflows, multi-step reasoning, and reliable production deployment using Python, PyTorch/JAX, and GPU infrastructure.
AI Engineer
Build and deploy scalable AI systems that turn physical-world data into enterprise intelligence, optimizing energy and operations for industries like climate tech.
Senior Data Scientist
Build and deploy ML models to forecast commodity flows and detect anomalies using geospatial and maritime data, working end-to-end from prototyping to production on AWS.
Senior Machine Learning Engineer
Design and build production-grade AI/ML platforms and MLOps pipelines for clients, using Python, cloud (GCP/AWS/Azure), Terraform, and tools like Vertex AI and Kubernetes.
Staff Machine Learning Engineer
Lead the ML execution layer for an AI chat app, building scalable training/inference systems, optimizing GPU workflows, and ensuring reliable multi-step task completion.
Data Scientist (Geospatial)
Build and deploy geospatial ML models to forecast education demand and optimize Singapore’s long-term infrastructure planning using Python, cloud platforms, and spatial analytics.
Embodied AI / ML Engineer — Sensor Data (On-site)
Build and run ML experiments on sensor data for embodied AI models in wearables and robotics; maintain data pipelines and mentor interns.
Machine Learning Engineer
Build and deploy AI models for video analytics, including computer vision and LLMs/VLMs, to solve real-world problems across industries.
AI Engineer (Azure AI Solutions)
Design and deploy AI-powered solutions using Microsoft Azure AI services, building scalable models and integrating them into enterprise applications.
AI Machine Learning Engineer - Predictive Maintenance focus
Build and deploy AI/ML models for predictive maintenance using time-series sensor data to reduce equipment downtime in industrial and smart-infrastructure settings.
Machine Learning Engineer (AI/ML Lab)
Design and deploy production-grade AI/ML models and pipelines for airport operations, focusing on computer vision, NLP, and generative AI systems.
Staff Engineer Data Scientist
Build and maintain large-scale data pipelines and deep learning models to drive AI-driven insights for semiconductor and IoT solutions, using Python, TensorFlow/PyTorch, and cloud platforms.
AI Scientist: Computer Vision & Deep Learning (Production)
Build and deploy deep-learning models for computer vision, voice, and text to power financial solutions using PyTorch.
Data Scientist – Generative AI & Cloud ML (12mo)
Designs and deploys AI-driven solutions, optimizes ML models in the cloud, and translates business needs into technical results using Python or R with TensorFlow or PyTorch.
Data Scientist (AI & Machine Learning)
Build and deploy AI/ML models (forecasting, CV, NLP) in cloud/air-gapped environments, collaborating with engineers to drive operational efficiency and present insights to stakeholders.
Data Scientist - AI,ML
Build, train, and deploy AI/ML models (e.g., time-series, CV, NLP) to solve business problems, then monitor and iterate them in production with MLOps tooling.