Remote Junior AI Engineer - Computer Vision

Location: Remote

Employment Type: Full-time (8 hours) Remotely

Experience Level: Junior (3+ 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 2 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