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NLP Engineer

Remote: 
Full Remote
Work from: 
Switzerland

Offer summary

Qualifications:

Experience with transformer models in software engineering, Proficiency in ML frameworks and NLP.

Key responsabilities:

  • Design and implement transformer models for language and structured data integration
  • Test, research, document and optimize model performance in production
PlantingSpace logo
PlantingSpace Information Technology & Services Startup https://planting.space/
11 - 50 Employees
About PlantingSpace
We are a research & development startup building a system which accurately represents knowledge and uncertainty, to enable the discovery of insights and transparent problem solving. Currently we’re focussed on sustainably growing our team in the areas of software development, research, operations and business development. Check out our job page for our full list of opportunities and the skill sets we’re searching for: https://planting.space/joinus/ What matters to us are outcomes, not when and from where our team members work, so positions are remote and not bound to exact work hours. We automate as much as we can, so that we can focus on problems that require creativity, analytical thinking and problem-solving. We regularly meet in nice places to work and have fun together. We believe in co-ownership and aligned incentives, so team members can become shareholders of the company. Learn more about our ways of work, and values on our website: https://planting.space/
See more PlantingSpace offers

Job description

We are looking for software engineers experienced with transformer models to contribute to development of our inference and learning pipelines. Tasks will focus on integration of pre-trained transformer models for language and structured data.

Useful experience
  • Work within Natural Language Processing (NLP)
  • Implementation, training and fine-tuning of transformer models
  • Deployment of ML models at scale: Serving models, Optimisation
  • Experience with ML frameworks
  • Following state of the art deep learning and large language modelling

    • Responsibilities
  • Design model integration based on requirements
  • Implement models as components of our production system
  • Write comprehensive tests
  • Conduct  research, and document findings and designs
  • Incorporate best practices
  • Push the capabilities of our system by introducing state of the art techniques

    • Required profile

    Experience

    Industry :
    Information Technology & Services
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Deep LearningNatural Language Processing (NLP)Machine LearningTransformer DesignDev TestingIntegration DEFinition For Information Modeling (IDEF1X)

    Other Skills

    • Research
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