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
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