Repair Engineer (m/w/d)

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Overview

The job is for a Repair Engineer, specifically aimed at individuals interested in engaging with sustainability reporting through innovative software solutions. The employer behind this opportunity is Workwise, a company focused on automating environmental, social, and governance reporting, thereby assisting firms in achieving their sustainability goals more efficiently. The position promises to be both professionally rewarding and impactful on a broader scale as it involves advancements in sustainability practices.

Job Position Details

As a Repair Engineer, you will be part of a team dedicated to overcoming the challenges related to sustainability reporting. The role is designed for candidates looking to make a difference not only in their professional lives but also in terms of environmental contributions. The company adopts a flexible work model that allows employees to work remotely within the Central European Time (CET) zone, with occasional team meet-ups every three months.

Responsibilities

In this role, you will be tasked with driving machine learning and generative AI initiatives from concept through to deployment. Your specific responsibilities will include:

• Developing machine learning (ML) models for natural language processing (NLP) and generative AI tasks.
• Working on projects involving text generation, semantic similarity, and classification while leveraging advanced models and fine-tuning them for sustainable applications.
• Collaborating closely with software engineers to ensure the integration of GenAI and traditional ML models directly into the company's platforms.
• Utilizing modern MLOps practices and test-driven development (TDD) methods to maintain reliable and robust machine learning pipelines.
• Partnering with various teams including product management and sustainability experts to effectively translate business requirements into actionable features and enhancements for the software product.

Skills and Qualifications

The ideal candidate will possess a deep understanding of machine learning and generative AI, particularly focusing on NLP applications. Required skills and qualifications include:

• A minimum of three years of hands-on experience in deploying NLP and generative models, such as BERT or Llama, especially for text-driven tasks.
• Strong programming skills in Python, with TypeScript as a desirable additional skill.
• Experience in model integration, emphasizing reliability, scalability, and security within production environments.
• Familiarity with MLOps and CI/CD practices, ideally with tools such as GitHub to automate the model development and deployment process.
• An understanding of data security, data privacy, and performance tuning for cloud environments.
• Practical experience applying generative AI to enhance user experiences, particularly when it pertains to sustainability data processing.
• A collaborative mindset, valuing quality in programming through peer code reviews and pair programming.

Salary and Benefits

Although the specific salary range is not detailed in the job description, the employer promises competitive compensation and equity options commensurate with qualifications and experience. The benefits are particularly attractive, including:

• Fully remote work capabilities with flexible hours.
• A family-friendly work environment that supports work-life balance.
• Supporting resources including state-of-the-art tools and equipment for ease of work.
• An educational budget made available for attending courses, conferences, and professional development.
• A generous leave policy that grants 30 days of vacation.

Additional Insights

The position calls for self-driven and innovative candidates who not only possess the required technical skills but also a passion for sustainability and teamwork. Workwise is committed to supporting its employees' growth both personally and professionally. If you're looking for a role that blends technology, AI, and real-world impact, this could be a fantastic opportunity to explore.

Conclusion

Overall, the job for a Repair Engineer at Workwise represents an exciting opportunity in the realm of remote work and sustainable development. Candidates who are technically proficient and have a genuine interest in AI applications for environmental purposes will find this role to be particularly fulfilling. The blended focus on professional growth and providing tangible benefits to both the company and the environment makes it a compelling position for job seekers.

This job offer was originally published on jooble.com