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

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Overview

The job position for Machine Engineer - GenAI / NLP is being offered by Workwise, which is located in Essen, within the Regierungsbezirk Düsseldorf; Westfalen region of Germany. This is a full-time role that focuses on leveraging Generative AI (GenAI) and Natural Language Processing (NLP) to drive sustainability initiatives through innovative software solutions.

Company Vision

Workwise aims to revolutionize how companies manage their Environmental, Social, and Governance (ESG) objectives. They are developing advanced software solutions aimed at automating the arduous task of sustainability reporting, thereby assisting companies in achieving more efficient and verifiable outcomes. Working here means contributing to environmentally friendly causes while also fostering personal and professional growth.

What the Job Involves

1. Driving Machine Learning Initiatives: You will lead efforts in machine learning and GenAI from ideation to deployment. The aim is to ensure that solutions are robust and scalable, integrating seamlessly into their platform.

2. Natural Language Processing Tasks: Your work will involve text generation, semantic similarity, and classification, focusing on fine-tuning advanced models for specific sustainability applications.

3. Collaboration with Software Engineers: You will work closely with software engineers to integrate both GenAI and traditional machine learning models into the product platform, with an emphasis on performance, security, and efficiency.

4. Modern MLOps Practices: Utilizing MLOps techniques and Test-Driven Development (TDD), you will ensure that the machine learning pipelines are reliable and maintainable, enabling rapid iterations and deployments.

5. Collaboration with Stakeholders: Partnering with product management and sustainability experts, you will translate business requirements into compelling AI-driven features that enhance product capabilities and user experience.

Required Skills

To be successful in this position, candidates should possess a robust skill set:

• Machine Learning Proficiency: A strong background in machine learning, with at least three years of hands-on experience deploying NLP and generative models (like BERT, Llama, or similar) in production.

• Programming Skills: Proficiency in Python is essential, with knowledge of TypeScript considered a strong plus. Experience integrating language models into production systems is crucial, particularly focusing on reliability, scalability, and security.

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• MLOps and CI/CD Knowledge: Familiarity with Continuous Integration / Continuous Deployment (CI/CD) practices, ideally using GitHub, to automate model development and deployment.

• Understanding of Data Security: A strong comprehension of data security measures, privacy, and performance optimization, specifically tailored for machine learning and GenAI in cloud environments.

• GenAI and NLP Expertise: Experience in applying GenAI for enhancing user experience, with proficiency in text generation and summarization relevant to sustainability.

• Collaborative Spirit: An approach that values collaboration and high-quality work, including pair programming and peer code reviews.

Benefits

When you join Workwise, you can expect various attractive benefits, which include:

• Flexible & Remote Work: Fully remote positions available within Central European Time (CET) zone, with full team meet-ups scheduled quarterly.

• Competitive Compensation and Equity: Attractive salary packages, along with equity options based on qualifications and experience.

• Family-Friendly Environment: They emphasize work-life balance through high flexibility measures.

• Top Technology Tools: Employees receive state-of-the-art technology setups to support their work.

• Continuous Learning: An educational budget is provided for courses, conferences, and other learning opportunities.

• 30 Days of Vacation: A generous vacation policy to allow employees ample personal time.

Application Process

Workwise has made applying for the position straightforward. Interested candidates can submit their applications quickly without the need for a cover letter. The status of the application can be tracked in real-time, simplifying the communication and process for job seekers.

Conclusion

If you are an experienced professional in the field of machine learning and are passionate about applying your skills to drive sustainability through innovative technology, this position at Workwise could be your next career move. The role offers not only flexibility and competitive compensation but also the chance to contribute to meaningful projects that impact the environment positively.

This job offer was originally published on jooble.com