NLP Engineer

Quantum Systems · Switzerland

About the role

About the Role

We are looking for a talented NLP Engineer.

Requirements

- TensorFlow - iOS - Ruby - Salesforce - C++ - WordPress - 8+ years experience - Remote-first mindset

Benefits

- Competitive salary - Flexible hours - Remote culture - Dev budget - Health insurance

What You Will Do As an NLP Engineer on our distributed team, you will be instrumental in developing and deploying advanced natural language processing models using TensorFlow. Your contributions will involve integrating these models into our core applications, potentially extending to mobile platforms via iOS development, and working with back-end systems that might utilize Ruby or C++. You will also support the extraction and analysis of data from various sources, including Salesforce, to refine our NLP capabilities. Experience with WordPress will be beneficial for understanding content management systems our NLP solutions interact with.

Why Join Us Join a forward-thinking, fully remote organization where innovation is at the forefront of everything we do. You'll collaborate with a diverse and supportive team of engineers passionate about cutting-edge AI and machine learning. This contract role offers a competitive salary within the 90,299-123,773 EUR range and the opportunity to make a significant impact on projects that push the boundaries of what's possible with NLP across various industries.

Who You Are You are a highly motivated and adaptable engineer with a strong foundation in machine learning and NLP principles. Your ability to navigate diverse technical landscapes, from TensorFlow model development to working with technologies like iOS, Ruby, C++, Salesforce, and WordPress, makes you an ideal candidate. You thrive in a remote setting, possess excellent problem-solving skills, and are eager to contribute creatively to complex technical challenges.

Required skills

About Quantum Systems

Quantum Systems is a leading company in the media space, building innovative solutions for global teams.

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