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Build and scale MLOps infrastructure for AI/ML pipelines, including CI/CD, model training/inference, and monitoring to improve AI model deployment velocity.
Build and optimize computer-vision models for AI dashcams that detect risky driving and coach fleets in real time using Python/C++ and deep-learning frameworks.
Develops and deploys 3D computer-vision models to detect doors, windows, and roof facets from equirectangular and satellite images for real-estate digitization.
Job Summary The AI Innovation Manager leads the identification, development, and implementation of AI-driven solutions that support Smart City initiatives. This role works closely with government agencies, business…
Lead the development and integration of AI/ML models (including LLMs and Computer Vision) with Integrated Resort systems across casino, hotel, and F&B to enhance guest experience and operational efficiency.
The Business Development Manager (BDM) for Smart Infrastructure Solutions will lead growth initiatives in asset management , traffic management , security management , and edge data center deployment . The role centers…
This role is open to candidates based in Johor Bahru, Kuala Lumpur, or Penang, Malaysia. The position is remote with regional travel as required. Client Overview Our client is a publicly traded healthcare technology…
Build and deploy production-grade AI and Generative AI solutions for clients, using cloud platforms, MLOps, and frameworks like TensorFlow/PyTorch.
Build and optimize real-time computer vision and 3D tracking systems for sports performance, deploying neural networks on edge devices to analyze athlete movements and deliver performance insights.
Lead architecture and development of enterprise backend systems for analytics, CRM, and AI platforms using Node.js, PostgreSQL, and cloud services.
Build and scale enterprise AI applications for aviation using React/Next.js, Python/FastAPI, and Azure OpenAI, integrating LLMs and deploying on AKS.
Leads AI/analytics product strategy for Motorola’s Avigilon security platform, translating cutting-edge models (computer vision, VLMs, agentic AI) into scalable, user-centric solutions for video surveillance and access control. Owns end-to-end roadmaps, cross-functional alignment, and performance metrics for high-volume production deployments.
The Opportunity Adobe is seeking to add Applied Scientists in Generative AI to our world-class AI Platform team. We are specifically looking for scientists with expertise in preparing data, training, fine-tuning and…
Build and maintain AI infrastructure and cloud environments for government AI projects, including MLOps pipelines, model serving, and security protocols.
Lead a team building a global drive-thru analytics platform using Angular frontends, Java/Spring Boot backends, Linux edge devices, MQTT messaging, and Docker containers.
Project Manager embedded with robotics squads to scope, track, and deliver engineering projects using Linear/GitHub, coordinating teams across Bengaluru and Cologne.
Build and deploy AI/computer-vision systems end-to-end, from data pipelines and model training to C++ edge integration and production validation.
Build and deploy AI models and data pipelines for a product company, focusing on deep learning and data science.
Build and enhance AI-powered fitness apps (web, mobile, and mirror) using full-stack tech, collaborating with product and QA teams to deliver features and resolve bugs.
Principal Data Science Engineer at Medtronic builds AI-driven analytics for surgical tech, using Python, ML, and cloud tools to deliver insights from signal data and improve operating-room decision support.
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