Why Hiring

About the Company

Welcome to Why Hiring: Redefining Remote Careers!

At Why Hiring, we believe in careers without boundaries. Explore diverse remote job opportunities tailored to your skills and lifestyle. We're more than a job board; we're a community shaping the future of work. Join us in connecting talent with global possibilities.

Your Next Adventure Awaits - Work from Anywhere!

Ready to break free from traditional constraints? Discover amazing job opportunities and embrace the freedom of remote work with Why Hiring.

Listed Jobs

Company Name

Why Hiring

Job Title

Junior Data Scientist

Job Description

At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints.

In this role, you will collaborate with top-tier professionals in a setting that nurtures both creativity and career development. Engaging with multimodal datasets, you'll be instrumental in developing pioneering solutions on an extended roadmap.

Responsibilities:
Utilize cutting-edge algorithms and libraries to address complex client challenges.
Design and deploy advanced AI features.
Analyze extensive multi-modal datasets to derive insights and features for downstream models and applications.
Develop and refine traditional machine learning models for both supervised and unsupervised learning, as well as advanced AI models for tasks including image-to-text, text-to-image, question-answering, and summarization.
Keep up-to-date with the latest advancements in AI research and integrate these into our products and services.
Effectively communicate technical challenges and solutions to both technical and non-technical stakeholders and team members.
Qualifications:
Proficiency in Python programming.
Knowledge of agile software development practices, including code reviews, unit testing, and version control with git.
Practical experience with libraries and frameworks such as Hugging Face, NLTK, SpaCy, TensorFlow, PyTorch, and Scikit-Learn.
Strong grasp of deep learning architectures, including transformers, recurrent and convolutional neural networks, and attention mechanisms.

United Kingdom

Remote

24-03-2025