Junior AI Engineer

Job Description

Innovation Team 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 Innovation Team
, 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 Innovation Team
, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where Junior engineers can make a meaningful impact.

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

• 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 Tensor Flow, 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)

• 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