Computer Vision Engineer

• AI Solution Development : Design, develop, and deploy scalable AI/ML systems, with a focus on computer vision solutions using YOLO.
• Deployment & Integration : Oversee end-to-end AI solution lifecycle including testing, deployment, and integration into production environments.
• Code Quality & Optimization : Conduct code reviews, ensure best practices, and optimize system performance for maintainability and efficiency.
• Collaboration : Partner with product managers, engineers, and stakeholders to deliver AI solutions that drive business impact.
• Team Leadership : Mentor and support junior team members, fostering a culture of innovation and continuous improvement.
• Innovation : Stay abreast of the latest AI trends and technologies, driving improvements in system architecture and development processes.

• Experience : 3+ years in AI/ML development with hands-on experience in computer vision and YOLO models.

• Strong experience building and deploying computer vision models, particularly using YOLO.
• Proficient in Python and AI/ML frameworks such as TensorFlow and PyTorch.
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) for AI solution deployment.
• Hands-on experience with containerization (Docker) and CI/CD pipelines.
• Strong skills in Git, version control, and debugging.
• Prior leadership experience in code reviews and mentoring.

• Experience with big data tools (Hadoop, Spark).
• Exposure to NLP or other advanced AI domains.
• Knowledge of Agile/Scrum methodologies and tools like Jira or Azure DevOps.

Weekday AI