Computer Vision Engineer

Description:

Requirements

• PhD/Master’s in Computer Science or related fields with 1–2 years of experience.
• Strong expertise in machine learning frameworks and computer vision.
• Hands-on experience with domain adaptation, incremental learning, and large-scale datasets.
• Proficiency in deep learning architectures (e.g., transformers) and Vision Language Models.
• Experience in optimizing models for real-time video analytics.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, with the ability to explain complex technical concepts.

Nice to Have

• Experience in product development for video analytics and real-time processing.
• Familiarity with data pipeline design, cloud platforms, and scalable deployment.
• Publications in top-tier AI/CV/ML conferences or journals.
• Ability to work autonomously and collaboratively in fast-paced environments.