Junior AI Engineer - Computer Vision

About the role

Remote Junior AI Engineer - Computer Vision Location : Remote Employment Type : Full-time (8 hours) Remotely Experience Level : Junior (5+ years) InnovationTeam 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. 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. Role Overview 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. - 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. Required Skills & Qualifications - 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. - Work on practical, production-grade Computer Vision solutions. - Access to GPU infrastructure and modern AI tooling. - Collaborative, engineering-focused work environment. - Opportunities for growth and advanced AI exposure. - Competitive compensation package.

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