Junior AI Engineer - Computer Vision

About this role

Job Description 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.

Key Responsibilities ·       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 2 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.

What We Offer ·       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.