Remote Junior AI Engineer – Computer Vision
Location: Remote
Employment Type: Full-time (8 hours) Remotely
Experience Level: Junior (5+ years)
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.
Skills Required
- Minimum 5 years hands-on experience in AI/Machine Learning/Deep Learning with focus on Computer Vision.
- Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Engineering, or related field.
- Strong knowledge of computer vision concepts and algorithms.
- Practical experience with CNN-based models and modern computer vision architectures.
- Proficiency in Python.
- Practical experience with ML/CV libraries (PyTorch or TensorFlow, OpenCV).
- Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).
- Prepare and manage datasets, including data cleaning, labeling, and augmentation.
- Optimize models for GPU performance, inference speed, and scalability.
- Experience deploying models into production (APIs, containerized services) in cloud or on-prem environments.
- Familiarity with Docker and basic MLOps practices.
- Understanding of model evaluation, metrics, and performance optimization.
- 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, GCP).
- Background in domains such as healthcare, smart cities, or industrial AI.
What We Do
Innovation Team is an IT consulting company that provides a comprehensive range of specialized professional solutions and services to businesses. Headquartered in Toronto, Canada, and branches serving other regions in the world, Innovation Team seeks to assist businesses operating in various industries to achieve their business objectives and to perform their day-to-day operations as competently and as efficiently possible. Our solutions and services are delivered at the hands of some of the most dedicated professionals in the field. In providing our scope of offerings, we work closely with vendors/manufacturers, experienced consulting firms, and system integrators; ensuring all our clientele receive optimum and timely services, consistently.
