Repair Engineer (m/w/d)

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Company Overview

This job posting is for a position at Workwise, a company that aims to revolutionize the way businesses approach sustainability reporting. By creating innovative software solutions aimed at automating these reports, Workwise is committed to helping organizations achieve their environmental, social, and governance (ESG) goals effectively and efficiently.

Job Position

The open position is for a Repair Engineer, specifically focusing on Machine Learning (ML) and Generative AI (GenAI) solutions, guiding projects from initial ideation to final deployment. This role will involve working with innovative technologies that enhance sustainability reporting, ensuring that the solutions developed are robust, scalable, and seamlessly integrated into the existing platform.

Main Responsibilities

As a Repair Engineer, you can expect to:

  • Drive ML and GenAI initiatives through every project stage while ensuring the solutions are well-integrated and scalable within the platform.
  • Work on various natural language processing (NLP) and GenAI tasks such as text generation, semantic similarity, and classification, utilizing advanced models and fine-tuning them for specific use cases.
  • Collaborate closely with other software engineers to incorporate GenAI and traditional machine learning models into the platform, particularly aiming at maximizing performance and security.
  • Employ modern MLOps practices along with Test-Driven Development (TDD) to maintain reliable deployment pipelines.
  • Work alongside product managers and sustainability experts to translate business objectives into AI-driven features that enhance product usability and capability.

Required Skills

To qualify for this position, candidates should have:

  • Proficiency in Machine Learning and Generative AI, with at least three years of experience in deploying NLP and generative models (such as BERT or Llama) in production, particularly for text-based tasks.
  • Strong programming and model integration skills, particularly in Python (with secondary expertise in TypeScript considered a plus).
  • Experience with MLOps and Continuous Integration/Continuous Deployment (CI/CD) practices, specifically with GitHub.
  • Knowledge of data security and performance optimization principles as they relate to ML and GenAI in cloud settings.
  • Familiarity with GenAI and NLP usage to enhance user experiences, specifically in relation to text generation and sustainability data.
  • A collaborative spirit and a commitment to quality, prioritizing peer code reviews and engaging in pair programming practices.

Employment Benefits

Candidates can expect several key benefits, including:



  • A fully remote working environment, allowing for flexibility and a positive work-life balance.
  • Competitive compensation along with equity options, determined by individual qualifications and experience.
  • A family-friendly environment that emphasizes adjusting for personal and family commitments.
  • Access to top-notch technological tools to aid in your productivity and efficiency at work.
  • An educational budget allocated for further professional growth through courses and conferences.
  • 30 days of vacation, offering ample time for rest and personal pursuits.

Salary Information

Although no specific salary range has been provided, the position promises a competitive package that aligns with the candidate's qualifications and experience. Candidates interested in this role should consider discussing their salary expectations during the interview process to ensure alignment with their needs and the company’s offerings.

Application Process

Individuals interested in applying for the Repair Engineer position are encouraged to apply through the Workwise platform, where applications can be submitted quickly and without the need for a traditional cover letter. The status of applications can be tracked online, illuminating a stream-lined and transparent recruitment process.

Conclusion

Overall, this position with Workwise offers a unique opportunity to work at the intersection of technology and sustainability, helping businesses navigate crucial environmental reporting challenges. For candidates passionate about making a significant impact while enjoying the benefits of remote work, this role can be a great fit.



This job offer was originally published on jooble.com

Workwise

Dresden

Data science

Full-time

February 6, 2025

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This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.