Senior Software Engineer, AI

February 12

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Logo of Houzz

Houzz

Houzz is a comprehensive platform that caters to homeowners and industry professionals involved in home renovation and design. The platform features a wide range of design ideas, photos, and articles on various rooms and home elements, from kitchens and bathrooms to outdoor spaces. It also offers a marketplace for home improvement products, furniture, and decor. Additionally, Houzz provides professional software solutions for design and construction projects, including tools for project management, 3D renderings, and estimate creation. The platform connects users with a variety of professionals such as architects, interior designers, and contractors.

Technology β€’ E-Commerce

πŸ“‹ Description

β€’ We are looking for a highly skilled and motivated Senior AI Engineer to join our innovative Houzz Pro team in Taiwan. β€’ If you are passionate about pushing the boundaries of AI and machine learning, we’d love to hear from you. β€’ As a Senior AI Engineer, you will be responsible for designing, developing, and implementing advanced AI models and machine learning algorithms that power our core products and services. β€’ You will work closely with cross-functional teams to understand business requirements, innovate new AI-driven solutions, and deploy scalable models. β€’ The ideal candidate has a deep understanding of AI principles, strong coding skills, and a proven track record in developing AI systems that deliver real-world impact

🎯 Requirements

β€’ Minimum of 5 years of professional experience in AI/ML engineering. β€’ Proven expertise in designing and deploying machine learning models at scale. β€’ Strong background in deep learning, reinforcement learning, NLP, or computer vision. β€’ Extensive experience with frameworks like TensorFlow, PyTorch, Keras, or similar. β€’ Familiarity with cloud platforms (AWS, GCP, Azure) for deploying AI solutions. β€’ Expertise in programming languages such as Python, C++, or Java. β€’ Strong mathematical and statistical knowledge, including probability, linear algebra, and optimization techniques. β€’ Experience with data engineering concepts, such as ETL processes, data pipelines, and handling large datasets. β€’ Familiarity with version control systems (Git) and CI/CD pipelines for AI/ML. β€’ Ability to translate complex technical concepts into clear, actionable insights for stakeholders. β€’ Strong problem-solving skills and the ability to think creatively to overcome technical challenges.

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