Junior AI Engineer - Computer Vision

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 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).

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.

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.