AI Research Engineer – Computer Vision & Imaging

Role Overview

Plus People is hiring an experienced AI Research Engineer – Computer Vision & Imaging for a client requirement. We are looking for a research-oriented professional with strong expertise in Computer Vision, Deep Learning and Generative AI.

Responsibilities

• Research and develop solutions for complex computer vision and imaging problems.
• Design, run and evaluate experiments to identify practical and scalable approaches.
• Work on product and apparel imagery, including segmentation, image-to-image transformation, geometry and lighting.
• Develop solutions using classical computer vision and deep learning techniques.
• Work with diffusion models, generative imaging, conditioning and control techniques.
• Fine-tune image generation models, including LoRA fine-tuning.
• Read and evaluate academic research papers and convert promising approaches into working prototypes.
• Define baselines, measurable success criteria and conduct structured experiments.
• Document and report experimental findings, including negative results.
• Collaborate with the AI Architect and Engineering team to transition validated research into production-ready solutions.
• Optimize models and approaches for performance and inference cost.
• Maintain reproducible experiments using Git and experiment tracking tools.

Requirements

• Minimum 3+ years of relevant experience with a strong research orientation.
• Strong proficiency in Python.
• Hands-on experience with PyTorch or TensorFlow.
• Experience with OpenCV, Pillow and/or scikit-image.
• Strong understanding of Computer Vision, including classical CV and deep learning.
• Experience with image segmentation, image-to-image translation, geometry and lighting.
• Working knowledge of diffusion models and generative imaging.
• Experience with conditioning, control techniques and LoRA fine-tuning.
• Ability to read academic papers, evaluate reproducibility and build working prototypes.
• Strong analytical and innovative problem-solving skills.
• Comfortable solving complex problems where there is no predefined solution.
• Experience designing experiments with baselines and measurable success criteria.
• Familiarity with Git and experiment tracking tools such as Weights & Biases, MLflow or similar.
• Good communication skills and the ability to explain research findings to technical and non-technical teams.

Skills

• Python
• PyTorch
• TensorFlow
• OpenCV
• Git