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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - Computer Vision - **Company:** THE INNOVATION TEAM INC. - **Location:** United States (Remote available) - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** 4G (Telecommunication), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Computer Vision, Microsoft Azure, Cloud Computing, Software Quality, Cyber Security, Data Cleansing, Infrastructure as a Service (IaaS), Python (Programming Language), Machine Learning, Natural Language Processing, Object Detection, OpenCV, Performance Tuning, Cloud Services, Tensorflow, Software Engineering, Pytorch, Deep Learning, Model Validation, Information Technology, Machine Learning Operations, Hardware Infrastructure, Oracle Cloud Infrastructure, Docker - **Published:** June 10, 2026 - **Apply:** https://www.builtincolorado.com/job/junior-ai-engineer-computer-vision/9666243 ## About the Role · Minimum 5 years of hands-on experience in AI / Machine Learning/Deep learning with a focus on Computer Vision. · Master's degree in computer science, software Engineering, Artificial Intelligence, Engineering, or a related field. · Strong knowledge of Computer Vision concepts and algorithms. · Practical experience with CNN-based models and modern CV architectures. · Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV). · Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2). · Understanding of model evaluation, metrics, and performance optimization. · Experience deploying models in cloud or on-prem environments. · Familiarity with Docker and basic MLOps practices. · Excellent English communication skills (written and spoken). Nice to Have · Experience with video analytics or real-time inference. · Exposure to Vision Transformers or multimodal AI. · Experience with GPU-based training and inference. · Knowledge of cloud platforms (OCI, AWS, Azure, or GCP). · Background in domains such as healthcare, smart cities, or industrial AI. ## Description As a Junior Computer Vision Engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions. This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production. At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where Junior engineers can make a meaningful impact., We are seeking a skilled AI Engineer with a strong focus on Computer Vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems. Requirements · Develop and train Computer Vision models for image and video analysis. · Implement solutions for object detection, image classification, segmentation, and tracking. · Prepare and manage datasets, including data cleaning, labelling, and augmentation. · Optimize models for GPU performance, inference speed, and scalability. · Deploy AI models into production using APIs and containerized services. · Integrate Computer Vision models with broader AI and analytics platforms. · Collaborate with software engineers, data scientists, and product teams. · Maintain documentation and ensure code quality and reproducibility., Artificial Intelligence * Healthtech * Machine Learning * Natural Language Processing * Biotech * Pharmaceutical Manage development, QC and maintenance of national product labeling (LPDs/LLDs/PLDs) per SOPs and regulatory requirements. Serve as SME for local/regional labeling, support digital transformation, automation and ML initiatives, maintain labeling systems (GDMS/trackers), perform data integrity checks, assist in readability testing, respond to regulatory inquiries and support inspection activities. Top Skills: Business Process ManagementDigital TransformationEnterprise DatabasesGdmsLabeling Tracking SystemMachine-LearningMs AccessExcelProcess AutomationSharepoint Ericsson Support Coordinator 2 Days Ago In-Office or Remote Entry level Entry level Cloud * Information Technology * Internet of Things * Machine Learning * Software * Cybersecurity * Infrastructure as a Service (IaaS) Provide 24/7 first-line coordination for emergency incidents from mobile operators across EMEA, engage technical teams, manage communications and trackers, handle repair orders, prepare operational reports, and support tools/process improvements. Top Skills: Ip NetworkingExcelMicrosoft Power AppsMicrosoft PowerpointPower BITableau Ericsson Program Director 2 Days Ago In-Office or Remote Senior level Senior level Cloud * Information Technology * Internet of Things * Machine Learning * Software * Cybersecurity * Infrastructure as a Service (IaaS) Lead end-to-end delivery of 5G/4G Core and cloud solutions across multi-vendor, multi-country engagements. Own program governance, risk mitigation, change management, financials, stakeholder management, and team development while optimizing delivery processes and enabling business growth. Top Skills: 4G Core5GCloudConfluenceContainersDual Mode CoreEpgIms VolteIotJIRAMmePacket CorePccPcgSapcSharepointUdmVirtualization What you need to know about the Colorado Tech Scene With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation. Key Facts About Colorado Tech * Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey) * Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3 * Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech * Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook) * Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures * Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute ## Related Videos - [Focoos AI: Building the Future of Computer Vision](https://www.wearedevelopers.com/videos/1659-focoos-ai-building-the-future-of-computer-vision) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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