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 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.

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.