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 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.
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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