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Copy of Senior Machine Learning Engineer (Platform / MLOPs)
Build and scale the ML platform that powers Nearmap’s aerial imagery analytics and generative AI products, running on AWS/GCP with Kubernetes, Ray Serve, and GPU workloads.
Machine Learning Engineer
Build and evaluate LLM and agent-based AI systems for mining software, using PyTorch and ML evaluation frameworks to improve model reliability and performance.
Applied AI Specialist
Drive enterprise AI adoption by scoping high-impact use cases, running technical discovery workshops, and validating feasibility for production deployment with large organizations.
Senior Machine Learning Engineer (Platform / MLOPs)
Build and scale the ML infrastructure that powers Nearmap’s aerial-imagery AI, including EKS batch inference, Ray Serve real-time serving, and GPU training on AWS/GCP.
Senior Software Engineer AI Robotics
Build production software for autonomous robotic medical imaging systems, integrating robotics, ultrasound, AI, and clinical workflows to deliver reliable, real-world healthcare solutions.
Senior Software Engineer, Applied ML, Robotics
Build production software for robotic medical imaging systems, integrating robotics, ultrasound, ML, and clinical workflows to create reliable, real-world autonomous devices.
Lead Computer Vision Engineer
Build production-grade computer vision systems that extract reliable signals from real-world video and image data, deploying AI models into live workflows with measurable operational impact.
AI Solution Architect
Design and deploy AI-driven solutions for clients, integrating ML models into production and aligning them with business goals using Python, TensorFlow/PyTorch, and cloud platforms.
Lead AI/ML Data Scientist — RAG, Azure & MLOps
Lead the design and deployment of AI/ML models (RAG, computer vision) using Python, PySpark, and Azure AI, with MLOps for production and continuous improvement.
Machine Learning Engineer
Build and deploy computer-vision and generative-AI models to track construction progress, validate claims, and improve site visibility for large firms.
Senior Robotics Software Engineer, Payload IntegrationNew
Design and integrate software that connects autonomous platforms with mission payloads, including APIs, data transport layers, and hardware interfaces for defense systems.
Senior Robotics Software Engineer, Payload Integration
Senior engineer building software that connects autonomous drones and payloads, designing APIs and data transport for mission-critical defense systems.
Lead Data Scientist – AI, Machine Learning
Lead a team to design and deploy AI/ML models, including generative AI and computer vision, using Azure AI services and Python, while establishing MLOps pipelines for enterprise-scale solutions.
Senior Machine Learning Engineer
Senior ML engineer building perception systems for autonomous maritime robots using computer vision, sensor fusion, and real-time ML pipelines.
Machine Learning Engineer
Build and optimize OCR and handwriting-recognition models for an EdTech platform, turning student essays into structured text and improving teacher feedback workflows.
Senior Robotics Software Engineer, Payload Integration
Senior engineer building software that connects autonomous drones to mission payloads, designing APIs and data transport layers for reliable, low-latency communication in defense systems.
Senior Embedded Linux Software Engineer – Edge AI & IoT
Build and secure embedded Linux Edge AI sensor platforms, integrating hardware, firmware, and cloud services to deploy reliable IoT devices with machine-learning inference.
Senior Embedded Linux Software Engineer – Edge AI & IoT
Build and own an embedded Linux Edge AI platform for connected urban infrastructure, integrating sensors, computer vision, audio processing, and OTA updates across hardware, firmware, and cloud.
Machine Learning Engineer — Computer Vision for Construction
Build and integrate computer-vision models to track construction progress and support ML lifecycle tooling alongside an AI/ML team.
AI Computer Vision Engineer
Build and deploy AI-powered computer vision models for video analytics, working across edge and cloud environments using Python, OpenCV, and frameworks like TensorFlow or PyTorch.