AI Engineer - Computer Vision

InnovationTeam Overview

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.

Requirements

• 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, or 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 computer vision architectures.
• Proficiency in Python and common ML/CV libraries such as PyTorch or TensorFlow, and 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-premises environments.
• Familiarity with Docker and basic MLOps practices.
• Excellent English communication skills, both 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 such as OCI, AWS, Azure, or GCP.
• Background in domains such as healthcare, smart cities, or industrial AI.

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.