Data Science Engineer (Core Team) Offline

Opportunity

Joining our team means being part of a dynamic, fast-paced environment where your contributions can shape the future of our AI try-on solution.

As an early member of our team, you'll have a unique chance to leave your mark on our journey. Your ideas and expertise will play a pivotal role in influencing the direction, growth, and success of our product. This is not just another job; it's a chance to be part of something extraordinary from the very beginning.

It's also a chance to collaborate with some of the best minds in the industry. Your contributions will be valued and celebrated, as you work alongside passionate and driven professionals who share a common vision of transforming user experiences through our AI rendering engine solution.

We offer a collaborative culture that nurtures creativity, encourages innovation, and fosters continuous learning. Your skills and expertise will complement those of your colleagues, as we collectively push the boundaries of what is possible.

We're seeking individuals who are not only skilled in their respective areas of expertise but are also eager to embrace the excitement and challenges that come with building a startup. If you're motivated, ambitious, and ready to embark on a journey where your contributions truly matter, join us and be at the forefront of transforming user experiences in the fashion industry.

Job Description:

- Develop and implement machine learning models for computer vision tasks such as image classification, object detection, and segmentation.

- Preprocess and engineer features from large-scale datasets, including gan-related image datasets, with sensitivity and consideration.

- Train, fine-tune, and evaluate machine learning models using frameworks like TensorFlow and PyTorch.

- Stay up-to-date with advancements in machine learning, computer vision, and generative models, particularly stable diffusion models.

- Collaborate with cross-functional teams to understand requirements, provide insights, and contribute to the success of the project.

Qualifications:

- Strong proficiency in Python programming language and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

- Solid understanding of machine learning algorithms, including deep learning, supervised and unsupervised learning, and transfer learning.

- Experience in developing and implementing computer vision models and algorithms for tasks such as image classification, object detection, and segmentation.

Nice to Have:

- Expertise in stable diffusion models or similar generative models for image synthesis and manipulation.

- Integrate machine learning models seamlessly into the production pipeline, optimizing for real-time performance and compatibility in a production environment.

- Expertise in data preprocessing, feature engineering, and model evaluation techniques.

- Strong knowledge of statistical analysis, probability theory, and mathematical modeling.

About the team:

Our dynamic and innovative team is focused on developing an advanced AI rendering engine specifically designed for the "Try On" experience. Our goal is to revolutionize the way people interact with garments and accessories by providing realistic and immersive try-on experiences.

The team comprises a group of talented individuals with expertise in computer vision, machine learning, graphics programming. We collaborate closely with fashion experts, developers, and researchers to ensure that our rendering engine meets the highest standards of accuracy, visual quality, and user satisfaction.