<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>Remote Junior AI Engineer - Computer Vision <br/><br/></strong><strong>Location</strong>: Remote<br/><br/><strong>Employment Type</strong>: Full-time (8 hours) Remotely<br/><br/><strong>Experience Level</strong>: Junior (5+ years)<br/><br/><strong>InnovationTeam</strong> is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a Junior AI Engineer - Computer Vision to join our AI engineering team.<br/><br/>As a Junior Computer Vision Engineer at <strong>InnovationTeam</strong>, 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.<br/><br/>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.<br/><br/>At <strong>InnovationTeam</strong>, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where Junior engineers can make a meaningful impact.<br/><br/><strong>Role Overview<br/><br/></strong>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.<br/><br/><strong>Requirements<br/><br/></strong><ul><li> Develop and train Computer Vision models for image and video analysis</li><li> Implement solutions for object detection, image classification, segmentation, and tracking</li><li> Prepare and manage datasets, including data cleaning, labelling, and augmentation</li><li> Optimize models for GPU performance, inference speed, and scalability</li><li> Deploy AI models into production using APIs and containerized services</li><li> Integrate Computer Vision models with broader AI and analytics platforms</li><li> Collaborate with software engineers, data scientists, and product teams</li><li> Maintain documentation and ensure code quality and reproducibility<br/><br/></li></ul><strong>Required Skills &amp; Qualifications<br/><br/></strong><ul><li> Minimum 5 years of hands-on experience in AI / Machine Learning/Deep learning with a focus on Computer Vision</li><li> Master's degree in computer science, software Engineering, Artificial Intelligence, Engineering, or a related field</li><li> Strong knowledge of Computer Vision concepts and algorithms</li><li> Practical experience with CNN-based models and modern CV architectures</li><li> Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV)</li><li> Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2)</li><li> Understanding of model evaluation, metrics, and performance optimization</li><li> Experience deploying models in cloud or on-prem environments</li><li> Familiarity with Docker and basic MLOps practices</li><li> Excellent English communication skills (written and spoken)<br/><br/></li></ul><strong>Nice to Have<br/><br/></strong><ul><li> Experience with video analytics or real-time inference</li><li> Exposure to Vision Transformers or multimodal AI</li><li> Experience with GPU-based training and inference</li><li> Knowledge of cloud platforms (OCI, AWS, Azure, or GCP)</li><li> Background in domains such as healthcare, smart cities, or industrial AI<br/><br/></li></ul><strong>Benefits<br/><br/></strong><ul><li> Work on practical, production-grade Computer Vision solutions</li><li> Access to GPU infrastructure and modern AI tooling</li><li> Collaborative, engineering-focused work environment</li><li> Opportunities for growth and advanced AI exposure</li><li> Competitive compensation package</li></ul> </div>