Remote Junior AI Engineer - Computer Vision

Description:

• InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries.
• The company is currently seeking a Junior AI Engineer – Computer Vision to join their AI engineering team.
• As a Junior Computer Vision Engineer, 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.
• InnovationTeam fosters a culture of innovation, collaboration, and technical excellence, offering an environment where Junior engineers can make a meaningful impact.
• Key responsibilities include developing and training Computer Vision models, implementing solutions for object detection, image classification, segmentation, and tracking, preparing and managing datasets, optimizing models for performance, deploying AI models into production, integrating models with broader platforms, collaborating with teams, and maintaining documentation.

Requirements:

• A minimum of 5 years of hands-on experience in AI, Machine Learning, or Deep Learning with a focus on Computer Vision is required.
• A Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field is necessary.
• Strong knowledge of Computer Vision concepts and algorithms is essential.
• Practical experience with CNN-based models and modern Computer Vision architectures is required.
• Proficiency in Python and common ML/CV libraries such as PyTorch or TensorFlow, and OpenCV is necessary.
• Experience with object detection and segmentation frameworks like YOLO or Detectron2 is required.
• Understanding of model evaluation, metrics, and performance optimization is essential.
• Experience deploying models in cloud or on-premises environments is necessary.
• Familiarity with Docker and basic MLOps practices is required.
• Excellent English communication skills, both written and spoken, are essential.

Benefits:

• You will work on practical, production-grade Computer Vision solutions.
• Access to GPU infrastructure and modern AI tooling will be provided.
• The work environment is collaborative and engineering-focused.
• There are opportunities for growth and advanced AI exposure.
• A competitive compensation package is offered.