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Design and deploy ML models for classification, prediction, and optimization using Python and cloud platforms, collaborating with teams to solve real-world problems in energy, finance, and more.
Designs enterprise AI solutions on cloud platforms, aligning architecture, security, and data governance with business needs using AI frameworks like TensorFlow/PyTorch.
Designs and implements AI/GenAI solutions for clients, leads proof-of-value sprints, and transitions AI workloads to production on Dell’s infrastructure.
Build and deploy AI/ML models across commercial, space, and defense sectors using Python, TensorFlow, and PyTorch.
Build and deploy computer-vision and generative-AI models to track construction progress, validate claims, and improve site visibility for large firms.
Lead the design and implementation of machine learning models and analytics to shape workforce development strategies using Python, TensorFlow, and SQL.
Build and deploy AI/ML models to automate workflows and improve efficiency for client projects using Python, TensorFlow, and PyTorch.
Build and improve AI models for proactive human-AI collaboration using machine learning, data mining, and statistical analysis in a cutting-edge product team.
Build and deploy ML/DL models for signal processing and data fusion to support national security systems, using Python, PyTorch/TensorFlow, and Linux.
Build and deploy ML models to detect fraud and improve customer experience in a global digital gifting and payments platform.
Senior ML engineer building perception systems for autonomous maritime robots using computer vision, sensor fusion, and real-time ML pipelines.
Build and optimize OCR and handwriting-recognition models for an EdTech platform, turning student essays into structured text and improving teacher feedback workflows.
Build and deploy production-grade ML models and pipelines to improve pet healthcare outcomes using Python, cloud platforms, and modern AI practices.
Builds and deploys ML models to turn subsurface data into actionable insights using Python, cloud platforms, and frameworks like TensorFlow/PyTorch.
Build and deploy ML models to detect fraud and improve customer experience in digital gifting and payments, using frameworks like PyTorch and cloud platforms such as AWS.
Build and optimize distributed ML training and low-latency inference pipelines for real-time trading models using PyTorch/TensorFlow and GPU acceleration.
Build and optimize ML models for proactive intelligence using Python, TensorFlow, PyTorch, and scikit-learn, collaborating with engineers to deploy models at scale.
Staff ML Engineer at Xero’s AI Products group designs scalable ML infrastructure and sets technical standards for LLM-powered features used by millions of small business customers.
Design and deploy AI-driven automation for trading workflows, integrating LLMs and RPA tools with legacy banking systems to streamline operations and ensure compliance.
Design and deploy AI agents and copilots to automate Roku TV workflows, integrating LLM orchestration, RAG, and multi-agent systems with Python and cloud tools.
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