Junior AI Engineer - Computer Vision

InnovationTeam; United States; Remote; USD 75,000 - 110,000; Full time

Job summary

InnovationTeam is seeking a Junior AI Engineer – Computer Vision to join our remote AI engineering team. You will design, develop, and deploy vision-based AI systems for real-world production environments, collaborating with cross-functional teams to deliver scalable image and video analytics solutions.

The ideal candidate has at least 3 years in AI/ML with a focus on computer vision, strong Python skills, and experience with frameworks such as PyTorch or TensorFlow, OpenCV, and familiarity with

Qualifications

• 2+ years hands-on experience in AI/ML/DL with a focus on Computer Vision.
• Master’s degree in CS, AI, or related field.
• Proficiency in Python and ML/CV libraries (PyTorch or TensorFlow, OpenCV).
• Experience deploying models in cloud or on-prem and Docker familiarity.

Responsibilities

• Develop and train CV models for image and video analysis.
• Implement object detection, image classification, segmentation, and tracking.
• Prepare datasets with cleaning, labeling, and augmentation.
• Optimize models for GPU performance, inference speed, and scalability.
• Deploy AI models into production using APIs and containerized services.
• Collaborate with software engineers, data scientists, and product teams.
• Maintain documentation and ensure code quality and reproducibility.

Skills

Computer Vision

Python

PyTorch

TensorFlow

OpenCV

YOLO/Detectron2

MLOps familiarity

English communication

Education

Master’s degree in Computer Science / Software Engineering / AI / Engineering

Tools

Docker

Job description

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.

• 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.
• 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.