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Build and maintain AI/ML pipelines and data infrastructure to support classification, detection, and predictive models using Python, Spark, and cloud data services.
Builds and deploys time-series forecasting models and ML systems to predict shipping-equipment needs for Mercado Envios using Python, SQL, and feature engineering.
Build deep-learning forecasting models to predict demand with 96% accuracy, using Python and PyTorch/TensorFlow, and deploy them in production to drive profit growth for clients like Delta and Virgin Atlantic.
An exciting opportunity is now available for a solution focused manager to join the Technology Enabled Science (TES team) at CSL. As part of the global TES team, this role builds AI/ML, Advanced Analytics, Automation…
Senior Data Scientist at Xero building forecasting and optimization models to guide finance and corporate decisions, using SQL, Python/R, and Tableau.
Build and own ML systems that forecast energy demand, detect faults, and drive dispatch decisions in real time, from data pipelines to production deployment.
Design, build, and deploy LLM and AI models with rigorous testing and governance; lead experiments in statistical modeling and predictive analytics.
Build and deploy AI/ML models for mission-critical government programs, integrating them into secure platforms and shaping certification policies.
Build and maintain high-scale data pipelines and infrastructure that process billions of events daily to support trading and research at a fintech firm.
Build real-time computer vision models in Python/C++ to track movement in airports and smart spaces, using NVIDIA DeepStream and cloud infrastructure.
Build and maintain data pipelines to ingest lab, production, and simulation data into a cloud-based data platform, ensuring reliability and observability for Samsara Eco’s Industrial AI Platform.
Build and scale a Python-based analytics engine that processes building-system data to cut energy waste and carbon emissions, running on Kubernetes and Docker with AI-driven insights.
Build full-stack web apps in Kotlin/React to ingest and analyze petabytes of data for cybersecurity threat detection in Australia’s electricity sector.
Build and deploy AI/ML models for pharma clients using SQL, Python, and healthcare datasets to analyze patient journeys, commercial demand, and clinical data.
Build ML models to detect fraudulent ad traffic at petabyte scale using deep learning and anomaly detection, protecting advertiser spend while maintaining user experience.
Build and deploy AI/ML models for demand forecasting, personalization, and content enrichment using Python and PyTorch, then integrate them into production systems.
Build and maintain Python-based backend services and Linux infrastructure for a solar-energy company, including REST APIs, time-series databases, automation, and security.
Build scalable real-time data pipelines and streaming architectures to power trading, risk, and asset management systems using time-series and lakehouse designs.
Build predictive models and AI/LLM pipelines to drive energy trading decisions, using Python, SQL, and workflow orchestration tools.
Build AI models that turn drone and satellite imagery into ecological insights—classifying land cover, tracking biodiversity, and optimizing drone-based restoration—using geospatial AI and computer vision.
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