Junior AI Engineer - Computer Vision

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.