Junior AI Engineer – Computer Vision

🕒 June 9

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InnovationTeam

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏢 Enterprise

☁️ SaaS

🔌 API

Enterprise • SaaS • API

InnovationTeam is a company specializing in enterprise digital transformation, government transformation, process excellence, and system integration. With expertise in digital enterprise solutions, API management, and integration, they have been working with Apigee since 2018. InnovationTeam develops workflows, automation, mobile applications, and eCommerce platforms for both consumer and employee use, utilizing technologies like Pega. Their services also include cloud, data, and AI solutions aimed at scalability, cost efficiency, and enhanced collaboration. InnovationTeam is committed to delivering complex projects on-time and with high quality, focusing on business outcomes. They have a strong team of over 350 experts and pride themselves on training local talent, aligning with Vision 2030.

📋 Description

• Design, develop, and deploy vision-based AI systems for real-world, production environments. • Work closely with cross-functional teams to build scalable image and video analytics solutions. • 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. • Maintain documentation and ensure code quality and reproducibility.

🎯 Requirements

• 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).

🏖️ Benefits

• 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.