Machine Engineer - GenAI / NLP / Remote (m/f/d)

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Overview

The position is for a Machine Engineer specializing in Generative AI (GenAI) and Natural Language Processing (NLP) with Workwise. This fully remote role is designed for individuals who are passionate about leveraging technology to evolve sustainability reporting through machine learning and AI.

Company Background

Workwise is dedicated to changing the landscape of sustainability reporting, aiming to simplify what is often a complex process for organizations. They focus on creating software solutions that automate reporting on environmental, social, and governance (ESG) metrics, thereby promoting accountability and transparency. This mission presents a unique opportunity for potential employees who wish to impact environmental and social governance through innovative technology.

Job Responsibilities

The selected candidate will be responsible for driving machine learning and generative AI initiatives from inception to operational deployment. Key duties include:

• Developing robust, scalable solutions that integrate seamlessly into Workwise's platform.
• Engaging with NLP and GenAI projects, particularly focused on text generation, semantic similarity, and classification tailored to sustainability applications.
• Collaborating with software engineers to embed both generative AI and traditional machine learning models into existing systems, ensuring efficiency and performance.
• Employing modern MLOps practices and Test-Driven Development (TDD) to create dependable and maintainable machine learning pipelines.
• Working closely with product management teams and sustainability experts to translate business needs into effective AI-driven features.

Required Skills and Qualifications

Candidates applying for this position should possess several critical skills and qualifications:

• A strong foundation in machine learning and generative AI, along with at least three years of hands-on experience deploying NLP and generative models (such as BERT, Llama, etc.) in a production context.
• Proficient programming skills, particularly in Python (with TypeScript being an added advantage), and experience in integrating language models into production environments focusing on reliability and scalability.
• Familiarity with MLOps and Continuous Integration/Continuous Development (CI/CD) is essential, especially concerning practices using GitHub to automate model development and deployment.
• A solid understanding of security measures, data privacy, and performance optimization relevant to machine learning and GenAI in cloud environments.
• Experience in applying GenAI to elevate user interactions, showcasing knowledge in text generation and summarization, especially in relation to sustainability data processing.
• Proven ability to work in a team-oriented environment, emphasizing collaboration through practices like pair programming and peer reviews for quality assurance in code development.

Work Environment and Benefits

Workwise promotes a work culture that balances professional growth with personal well-being. Key highlights include:

• Flexible & Remote Work: The position offers complete remote working arrangements, alongside team meet-ups every three months.
• Competitive Compensation & Equity: Employees receive competitive salary packages combined with equity options, tailored to individual qualifications and experiences.
• Family-Friendly Environment: The company provides a work-life balance with immense flexibility.
• Top Equipment & Tools: Employees will have state-of-the-art technology setups to facilitate their work.
• Continuous Learning: A dedicated educational budget is provided to motivate employees to pursue further training through courses, attend conferences, and more.
• 30 Days of Vacation: The role also offers ample vacation days to ensure that employees can unwind and recharge.

Salary Information

While specific salary figures are not mentioned in the job description, the offering includes competitive compensation based on qualifications and experience. This suggests a commitment to providing a financially rewarding environment, although candidates may need to inquire further during the interview process for exact figures.

Application Process

Workwise simplifies its application process, allowing candidates to apply for the Machine Engineer position without the need for a cover letter. This modern approach aims to make it easier for potential employees to express their interest and manage the status of their applications in real time through the Workwise platform.

In summary, this Machine Engineer - GenAI / NLP role at Workwise in Karlsruhe offers a unique opportunity for professionals looking to apply their skills in a meaningful way while enjoying a flexible work environment. Furthermore, the potential for personal and professional growth in the field of sustainability reporting enhances the attractiveness of this position.

This job offer was originally published on jooble.com