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 architecturesExperience with self-supervised learning techniquesUnderstanding of model applications and limitationsGood grasp of underlying concepts and maths behind the ML modelsPreferable : ability / experience in customising existing architectures to adapt to a specific use case / overcome model limitationsExperience with training and fine-tuning pre-trained modelsStrong understanding and hands-on experience with evaluation techniques in object detection and classificationProgramming skills : Language : Python
Frameworks and libraries :
Core python libraries like pandas, numpy, opencv, scikit-learn etc.Understanding of model applications and limitationsPytorch, Keras, Tensorflow, MMdetection (and other common CV libraries)HuggingfaceStreamlit (or other alternatives)Cloud Technologies :
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 pipelineExperience with building pipelines within AWS for data science projects Serving ML endpointsStrong understanding of computational resources and their differencesUnderstanding of concepts like cost and computational efficiencyOther : GitHub
Development and deployment :
Good knowledge of best practices in MLOpsProduction-level experience : hands-on experience working with ML models in production environmentsExperience with following engineering best practices of deploying the models and machine learning pipelinesExperience in working collaboratively with engineers and understanding and experience in post-deployment techniquesKnowledge of concepts such as data and model driftKnowledge of concepts such as feedback loopSoft skills :
Ability to work in collaborative environment on a single projectAbility to work independently on individual projectsInterest in keeping up to date with new techniques and technologies in data science spaceStructured approach to documentation and project workFamiliarity with agile working environmentsAbility to deliver prototypes and demos that can be easily digested by wider non-technical audiencesGood understanding of experimentation concepts and ability to pivot quicklyEducation :
Must have : bachelor’s degree in relevant fields such as mathematics, data science, computer science or statisticsPreferable : MSc in relevant fields such as mathematics, data science, computer science or statisticsWork Schedule
As the client is UK-based, you will be required to work in UK daytime :
Monday to Friday14 : 00 - 23 : 00 IST (08 : 30 am - 17 : 30 GMT)Pay & Benefits - What you’ll get in return :
Annual CTC : 10 to 15 lakhsFully remote role