Repair Engineer (m/w/d)

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Overview

Workwise is a pioneering company working on innovative software solutions for automating sustainability reporting. The organization envisions a future where sustainability reporting is streamlined and efficient, transforming a traditionally cumbersome task into a more manageable process. They are looking for a Repair Engineer to join their team and contribute to the challenges of sustainability reporting, ultimately helping firms achieve environmental, social, and governance (ESG) goals. Your work will have meaningful impacts on the environment while allowing you to grow both professionally and personally.

Job Offer

The position offered is for a full-time Repair Engineer (m/w/d) role, focusing on machine learning and generative AI initiatives. Employees will be expected to work remotely while adhering to the Central European Time (CET) zone. The company organizes full team meet-ups every three months, thus maintaining a connection among team members.

Compensation and Benefits

Workwise offers a competitive compensation package and equity options that are determined by individual qualifications and experience. Some notable benefits include:

• Flexible and Remote Work: Fully remote work opportunities that offer great work-life balance.
• Family-Friendly Environment: High flexibility to accommodate your personal and family commitments.
• Top Equipment and Tools: State-of-the-art technology setup will be provided to facilitate work efficiency.
• Continuous Learning: Workwise values professional development, offering an educational budget for various courses, conferences, and further learning opportunities.
• Generous Vacation: Employees enjoy 30 days of vacation a year, allowing for ample time off to recharge.

Job Responsibilities

As a Repair Engineer at Workwise, your responsibilities will include driving machine learning and generative AI initiatives, making sure these solutions are reliable, scalable, and seamlessly integrated into the existing platform. The main tasks involve:

• Developing AI Solutions: Focusing on natural language processing (NLP) tasks like text generation, semantic similarity, and classification, you will leverage advanced models and fine-tune them for specific sustainability use cases.
• Collaboration: Working closely with software engineers to integrate both generative AI and traditional machine learning models into the platform while emphasizing efficiency, security, and performance at scale.
• MLOps Practices: Utilizing modern MLOps techniques and Test-Driven Development (TDD) to ensure reliable and maintainable pipelines where models can be quickly iterated and deployed.
• Partnership: Partnering with product management and sustainability experts to translate business requirements into effective AI-driven features that improve the product's capabilities and usability.

Required Skills

Candidates applying for this position should possess a strong background in machine learning, particularly with a minimum of three years of hands-on experience in deploying NLP and generative models (such as BERT, Llama, or similar) in production settings. Specific qualifications and competencies include:

• Proficiency with Machine Learning: A solid foundation in machine learning and generative AI is necessary, especially for text-based tasks.
• Programming Skills: Expertise in Python is a must, while experience with TypeScript is a significant advantage. Candidates should have experience integrating language models into production systems focusing on reliability, scalability, and security.
• Knowledge of MLOps and CI/CD: An understanding of CI/CD practices, ideally with GitHub, is crucial to streamline model development and deployment.
• Data Security and Performance Optimization: A strong grasp of data privacy, security, and performance fine-tuning for machine learning and AI models is required, specifically within cloud environments.
• GenAI and NLP Expertise: Candidates must be able to effectively apply GenAI to improve user experiences and have a solid understanding of advanced tasks such as text generation and summarization relevant to sustainability data processing.
• Team Collaboration: Valuing collaboration is essential, as the role involves engaging in pair programming and prioritizing high-quality outputs through peer code reviews.

Application Process

Those interested in the Repair Engineer opportunity at Workwise can apply in just a few minutes without needing a cover letter. Additionally, applicants are able to track the status of their application in real-time, making the process straightforward and transparent.

This role at Workwise represents an exciting opportunity for talented engineers who are passionate about sustainability and want a flexible working environment where they can significantly impact the industry.

This job offer was originally published on jooble.com