Computer Vision Engineer – Agentic AI

This is a fully remote position, open to applicants in Asia.

📋 Description

• Assist in the creation and enhancement of computer vision models aimed at improving product functionalities.

• Develop clean and efficient Python code utilizing PyTorch and TensorFlow for model training, inference, and deployment as necessary.

• Help integrate computer vision solutions into current systems and workflows.

• Keep abreast of advancements in computer vision, large language models, and multimodal AI, and share insights with the team.

• Engage in code reviews, daily stand-ups, and team discussions.

• Contribute to research experiments and convert promising concepts into functional prototypes.

• Work collaboratively with engineering, product, and data teams in an agile environment.

⛳️ Requirements

• Currently enrolled in or recently graduated with a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related field.

• Strong understanding of fundamental computer vision concepts, such as object detection, image segmentation, and feature extraction.

• Familiarity with large language models or multimodal models.

• Proficient in Python with experience or a keen interest in PyTorch or TensorFlow.

• Knowledge of KYC pipelines, document analysis, or OCR processes is a significant advantage.

• Personal projects, contributions to GitHub, participation in Kaggle competitions, or academic research in computer vision are highly regarded.

• Experience in building agentic AI systems is a plus.

• Practical experience in model deployment using ONNX, TorchServe, or cloud inference is beneficial.

• Basic understanding of MLOps, Git, and cloud platforms such as AWS, GCP, or Azure is advantageous.

• Must be a current university student or a recent graduate.

🏝️ Benefits

• Receive mentorship from senior engineers and gain exposure to production-grade AI systems.

• Engage in impactful projects at the convergence of vision and language models.

• Access networking and professional development opportunities.

• Enjoy a competitive salary along with company benefits.

• Flexible work-from-home arrangements (subject to the nature of the business team's work).

• Opportunities for career growth and continuous learning.

• Collaborate with top-tier talent.

• Participate in unique, fast-paced projects with a degree of autonomy.