- You design, develop, test, and deploy software services that leverage ML within our DWX AI Platform.
- You contribute to the selection of technologies and the design of IT architectures.
- You integrate new ML models into the existing software solutions.
- You work under agile methodologies (Scrum / Agile) and the use of CI / CD pipelines (continuous integration and continuous delivery).
- Recent graduate, Master’s graduate, Master's student or similar.
- Good knowledge of software architecture principles, data structures, and design patterns.
- Experience with Java (framework Spring Boot) and Python.
- Knowledge of databases: MongoDB and Neo4j.
- Desirable knowledge in machine learning and data science tools (NLTK, scikit-learn, PyTorch, Keras, TensorFlow...).
- Effective communication skills (fluent in English).
- A space to bring your ideas to life, with a great tech team to develop them.
- The possibility of working remotely with great professionals in a young growing company that takes team satisfaction into account.
- Creating an innovative product that represents the evolution of websites as they are understood today with clients such as eBay Classifieds Group.
- You will have a true impact on our SEO SaaS platform, affecting millions of users every day.
- You will work on a modern tech stack including Java, Python, Angular, Docker, Kubernetes, Git, Neo4j, NLTK, Scikit-Learn, Okta and Google Cloud Platform (GCP).
- Development and growth opportunities within the company.
Company
DWX
Spain
Location
Remote Position
(From Everywhere/No Office Location)
Job type
Full-Time
Python Job Details
In 2019, we began to develop our own software that represents the evolution of the website model that we all know. For us, the future passes through smart, lively websites. Dynamic Web Expanding (DWX AI Platform) was born.
DWX is the only AI platform of its kind purpose-built for automating search marketing processes and unlock SEO growth through ML and AI.
Using AI & ML, we plan to support websites that adapt to the different environments they coexist with through data interpretation and external and internal stimuli.
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