Repair Engineer (m/w/d)

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Overview

The job opportunity at Workwise for the role of Repair Engineer (m/w/d) is centered around the innovative field of sustainability reporting automation. The company aims to revolutionize how businesses handle their Environmental, Social, and Governance (ESG) goals through sophisticated software solutions. This position offers the chance to contribute to meaningful environmental improvements while also fostering personal and professional growth.

Job Position

The job title is Repair Engineer, specifically looking for professionals proficient in the areas of Machine Learning (ML) and Generative AI (GenAI). Ideal candidates will engage in tasks that require the application of modern AI techniques to ensure that solutions are not only robust but also seamlessly integrated into the company's platform. The role involves full ownership of innovative projects from their inception to fruition.

Key Responsibilities

• Driving machine learning initiatives: You will spearhead various ML and GenAI activities, ensuring robustness and scalability.
• Natural language processing tasks: Tasks such as text generation, semantic similarity, and classification will be a core focus, utilizing advanced models and fine-tuning them specifically for sustainability use cases.
• Collaboration: Working closely with software engineers, you will integrate GenAI and traditional ML models into the platform while prioritizing efficiency, security, and performance at scale.
• Modern MLOps practices: Ensuring reliable maintainable pipelines and rapid deployment of models using contemporary MLOps methodologies.
• Business translation to technical features: Partnering with product management and sustainability experts to translate business needs into AI-driven features that enhance usability.

Required Skills

The role requires a strong background in ML and GenAI, with a minimum of three years of hands-on experience in deploying NLP and generative models (e.g., BERT, Llama). Here are the primary skills needed:

• Machine Learning Proficiency: Extensive knowledge of ML concepts and deployment.
• Programming Knowledge: Expertise in Python, with additional knowledge of TypeScript being a strong plus, and experience integrating language models into production systems.
• MLOps and CI/CD Experience: Familiarity with continuous integration and continuous deployment practices, ideally using GitHub.
• Data Security and Performance Optimization: Understanding of data security, privacy, and performance tuning specific to ML and GenAI in cloud settings.
• Collaboration Skills: The ability to engage in pair programming and emphasize high-quality results through peer code reviews.

Benefits and Work Environment

Workwise promotes a flexible work environment, emphasizing family-friendliness and work-life balance. Here are the primary benefits provided:

• Flexible & Remote Work: Opportunities for fully remote work, with team meet-ups occurring every three months.
• Competitive Compensation & Equity: Salary packages that are competitive, alongside equity options depending on experience and qualifications.
• Top Equipment & Tools: Access to state-of-the-art technological setups to enhance productivity.
• Continuous Learning Opportunities: A budget allocated for educational purposes, including courses and conferences, encouraging skill enhancement.
• Generous Vacation Policies: Employees are granted 30 days of vacation per year.

Application Process

Interested candidates can apply in just a few moments and without the need for a cover letter through the Workwise platform. Furthermore, applicants can track the status of their application in real-time, providing transparency throughout the hiring process. This ease of application emphasizes the company's commitment to attracting top talent swiftly and effectively.

Overall, the position of Repair Engineer at Workwise presents an exciting opportunity for skilled professionals in the ML and GenAI fields who are looking to contribute to transformative environmental efforts while enjoying flexibility and numerous professional benefits in their work.

This job offer was originally published on jooble.com