About Us
We are a leading AI company specialized in providing state-of-the-art AI solutions to the Real Estate market. Our mission is to empower businesses with cutting-edge AI technologies that enhance efficiency, productivity, and innovation. As we continue to grow, we are seeking an exceptional leader to join our dynamic team as Vice President of Artificial Intelligence. Your contributions will be pivotal in shaping the future of our AI initiatives and ensuring the highest standards of performance and efficiency.
Job Description
We are seeking a highly experienced and accomplished executive with over 10 years of expertise in AI and deep learning to lead our AI engineering efforts. In this leadership role, you will drive the research, design, implementation, optimization, and deployment of advanced deep learning models to enhance our AI ecosystem.
Key Responsibilities Lead and mentor a team of deep learning engineers in developing cutting-edge neural network architectures.Oversee the end-to-end process of model development, from ideation to deployment.Conduct comprehensive reviews of deep learning research papers and integrate innovative findings into our projects.Develop and train state-of-the-art algorithms to perform visual recognition tasks, such as segmentation, detection, and classification at scale on multi-million image datasets.Analyze and interpret performance metrics to guide model improvements.Collaborate closely with IT and platform engineering teams to ensure seamless integration and optimization of models within our platform.Continuously iterate on model design and implementation based on real-world performance and feedback.Stay updated with the latest advancements in AI and deep learning, driving the adoption of best practices and new technologies within the team.Work closely with Product and business teams to ensure a strong synchronization between AI development and customer-faced requirements.Desired Skills and Experience
10+ years of experience in AI and deep learning, with a proven track record of leading successful projects. Advanced proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar. Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting, and Linux environment. Strong background in neural network design, training, and optimization. An ideal candidate is very comfortable in cluster environments and understands the related computer systems concepts (CPU/GPU interactions/transfers, latency/throughput bottlenecks during training of neural networks, CUDA, pipelining/multiprocessing, etc). Demonstrated ability to stay current with the latest research and apply it effectively.
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