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Lead the design and deployment of generative vision AI systems using Azure ML, OpenAI APIs, and computer vision models for enterprise-scale applications.
Develops image-processing and computer-vision models using Python and SQL to analyze visual data at scale for R&D initiatives.
Owns AI and digital products from idea to launch, working with engineers and data scientists to build customer-centric solutions using ML/NLP/GenAI.
Build and deploy computer-vision models and analytics pipelines in Python/SQL, using cloud/big-data tools to extract insights from image data for R&D projects.
Design, build, and deploy AI/ML models and Generative AI solutions for clients in banking, healthcare, and other industries, covering the full lifecycle from data prep to MLOps.
Build and validate AI/ML models (LLMs, NLP, CV) for banking use cases, rapidly prototype solutions, and mentor junior team members in a collaborative, onsite environment.
We are looking for an innovative and driven AI Implementation Specialist to bridge the gap between cutting-edge artificial intelligence and our daily logistics operations. In this role, you will be the driving force…
Lead the design and deployment of AI/ML solutions using Azure ML, OpenAI APIs, and Generative AI for computer vision tasks like object detection and retail shelf analysis.
Build, integrate, and optimize AI/ML solutions using Python, LLMs, and MLOps pipelines for enterprise clients, while collaborating with data scientists and engineers.
DevOps Engineer maintains secure, reliable deployment and monitoring of IoT hardware and cloud pipelines for an AI-driven aquaculture platform using Linux, AWS, Docker, and networking.
Designs, builds, and deploys AI/ML models and data pipelines to production, optimizing performance and collaborating with cross-functional teams.
Build secure, scalable enterprise apps for defense/intel missions using Java, Python, Angular, and REST APIs in an Agile environment.
Build AI-powered digital imaging tools for cancer diagnostics using C++, C#, Python, and machine learning in a healthcare-focused product team.
Senior backend engineer building scalable Python/FastAPI services and Kubernetes infrastructure to expose AI-driven computer vision models for global infrastructure maintenance.
Build and scale the ML infrastructure that powers Nearmap’s aerial imagery AI products, including real-time model serving, distributed training, and LLM platforms on AWS/GCP.
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.
Build and evaluate LLM and agent-based AI systems for mining software, using PyTorch and ML evaluation frameworks to improve model reliability and performance.
Drive enterprise AI adoption by scoping high-impact use cases, running technical discovery workshops, and validating feasibility for production deployment with large organizations.
Build and scale the ML infrastructure that powers Nearmap’s aerial imagery and AI-driven property analytics, including batch inference, real-time model serving, and LLM platforms on AWS/GCP.
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.
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