Summary
We're a fully female-founded company on a mission to change the way people search and shop online for fashion forever. We're going to spark a new era of fashion discovery, igniting confidence in everybody and every body, and to create a world where fashion confidence starts with "Us".
We are at the beginning of an exciting journey and we're looking for top talent to join our team. Unlike many start-ups we're well funded, have a detailed business and financial plan, and are looking for experienced, passionate professionals to join us in creating and scaling a game-changing business.
So if you want a role where you will make a major impact and want to be a part of a team of women building an incredible product and experience for other women, come join us and make the most move of your career.
Experience: 3+ years of experience in data science- Computer vision.
Competencies:
Data: Great understanding and experience in handling image data and common analysis, enhancement and transformation techniques to understand limitations and validity of a dataset
- Experience with working with large volumes of data
- Understanding of data collection and annotation
- Experience with image augmentation and transformations
- Experience with image enhancements
Computer Vision:
- Strong understanding of predictive techniques including neural network and transformer architectures
- Experience with self-supervised learning techniques
- Understanding of model applications and limitations
- Good grasp of underlying concepts and maths behind the ML models
- Preferable: ability/experience in customising existing architectures to adapt to a specific use case/overcome model limitations
- Experience with training and fine-tuning pre-trained models
- Strong understanding and hands-on experience with evaluation techniques in object detection and classification
Programming skills:
Language: Python
Frameworks and libraries:
- Core python libraries like pandas, numpy, opencv, scikit-learn etc.
- Understanding of model applications and limitations
- Pytorch, Keras, Tensorflow, MMdetection (and other common CV libraries)
- Huggingface
- Streamlit (or other alternatives)
Cloud Technologies:
AWS
- Knowledge of appropriate services within AWS (such as Sagemaker, Lambda, EC2, S3, RDS, DynamoDB and etc); Understanding on how they can work together in a single pipeline
- Experience with building pipelines within AWS for data science projects Serving ML endpoints
- Strong understanding of computational resources and their differences
- Understanding of concepts like cost and computational efficiency
Other:
GitHub
Development and deployment:
- Good knowledge of best practices in MLOps
- Production-level experience: hands-on experience working with ML models in production environments
- Experience with following engineering best practices of deploying the models and machine learning pipelines
- Experience in working collaboratively with engineers and understanding and experience in post-deployment techniques
- Knowledge of concepts such as data and model drift
- Knowledge of concepts such as feedback loop
Soft skills:
- Ability to work in collaborative environment on a single project
- Ability to work independently on individual projects
- Interest in keeping up to date with new techniques and technologies in data science space
- Structured approach to documentation and project work
- Familiarity with agile working environments
- Ability to deliver prototypes and demos that can be easily digested by wider non-technical audiences
- Good understanding of experimentation concepts and ability to pivot quickly
Education:
- Must have: bachelor's degree in relevant fields such as mathematics, data science, computer science or statistics
- Preferable: MSc in relevant fields such as mathematics, data science, computer science or statistics
Work Schedule
As the client is UK-based, you will be required to work in UK daytime:
- Monday to Friday
- 14:00 - 23:00 IST (08:30 am - 17:30 GMT)
Pay & Benefits - What you'll get in return:
- Annual CTC: 10 to 15 lakhs
- Fully remote role