Junior AI Engineer

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

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