Job Description

About Us

Ivy Mobility is committed to leveraging cutting-edge technologies such as computer vision, machine learning, and artificial intelligence to solve complex problems and deliver innovative solutions to our customers. As a Computer Vision Engineer at Ivy Mobility, you will have the opportunity to work on challenging projects and collaborate with a diverse team of talented professionals. Join us in shaping the future of computer vision and making a meaningful impact in the world.

Position Overview

We are seeking a talented and motivated AI Engineer with expertise in Computer Vision and Generative AI to join our innovative team. The ideal candidate will have a strong background in developing and deploying AI solutions, particularly in the areas of computer vision and generative models. You will work closely with cross-functional teams to design, implement, and optimize AI-driven solutions that address real-world challenges.

Key Responsibilities

• Develop and implement computer vision algorithms and models for various applications.
• Design and build generative AI models to create new content and enhance existing datasets.
• Collaborate with data scientists, software engineers, and domain experts to integrate AI solutions into products and services.
• Conduct research to stay up-to-date with the latest advancements in computer vision and generative AI.
• Optimize and fine-tune models for performance, scalability, and efficiency.
• Validate and test AI models to ensure accuracy and robustness.
• Document processes, models, and results for knowledge sharing and future reference.

Required Skills and Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 2-3 years in computer vision, 1 + year in Gen AI with an overall 5 years in the AI space for Sr. AI Engineer
• Proficiency in programming languages such as Python, C++, or similar.
• Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV).
• Experience with deep learning techniques, including convolutional neural networks (CNNs) and generative adversarial networks (GANs).
• Hands-on experience with data pre processing, augmentation, and annotation.
• Familiarity with model deployment and scaling in cloud environments (e.g., AWS, Google Cloud, Azure).
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication skills and the ability to work collaboratively in a team setting.

Preferred Skills

• Experience with reinforcement learning and unsupervised learning techniques.
• Knowledge of 3D computer vision and related technologies.
• Familiarity with generative AI applications in image, video, and text generation.
• Understanding of the ethical implications and considerations in AI development.