Senior AI Engineer - Large Language Models (f/m/d)

As a Senior AI Engineer - Large Language Models at our company, your responsibilities include prototyping innovative ideas, maintaining a balance between cutting-edge research and practical applications, ensuring that our solutions leverage the latest advancements in NLP and machine learning, developing and fine-tuning state-of-the-art model architectures, and maintaining detailed documentation of AI experiments and findings.

To qualify for the Senior AI Engineer - Large Language Models position, you should have a degree in Computer Science or a related field, experience in turning AI research into real-world applications, familiarity with NLP frameworks like PyTorch, solid knowledge of transformer architectures, and preferably a PhD or a publication track record in AI.

Essential skills for the Senior AI Engineer - Large Language Models role include strong programming abilities, proficiency in machine learning frameworks such as PyTorch, understanding of NLP techniques and transformer architectures, and excellent problem-solving skills. Being able to communicate complex insights effectively is also crucial.

As a Senior AI Engineer - Large Language Models, you can expect an impressive benefits package including 30 days of paid vacation, a public transport subsidy, fitness and wellness offerings, mental health support, and a flexible hybrid working model, all designed to enhance your well-being and work-life balance.

Our company supports career growth for Senior AI Engineers - Large Language Models through ongoing training opportunities, access to the latest industry research, and the chance to work on cutting-edge AI projects. We encourage innovation and provide an environment where your insights and contributions matter.

In your answer, focus on specific projects where you've worked with architectures such as transformers. Discuss the outcomes of these projects and any challenges you faced, highlighting your problem-solving skills and how you overcame obstacles to achieve success.

Discuss the sources you use to stay current, such as major conferences, journals, and online courses. Mention any communities or networks you are a part of that allow you to engage with other professionals and learn about innovative practices.

Provide a detailed overview of the project, including your role, the process of transforming the AI concept, the methodologies employed, challenges faced during deployment, and the impact it had on the end users or the business.

Identify challenges such as ensuring model robustness in real-world scenarios, data quality issues, integration with existing systems, and compliance with regulatory standards. Give examples of how you’ve tackled similar challenges in past roles.

Explain your approach to task prioritization, such as using project management tools or frameworks like Agile. Mention your strategies for effective time management and communication with team members to ensure project deadlines are met.

Discuss the tools you’ve used, such as PyTorch and Hugging Face Transformers, mentioning specific projects where you utilized them for NLP tasks. Highlight how your experience with these tools enhances productivity and improves project outcomes.

Detail your method for maintaining clear and comprehensive documentation of your AI experiments, including findings, methodologies, and troubleshooting steps. Emphasize the importance of documentation in collaborative projects for knowledge sharing.

Share techniques you use to simplify complex terms and concepts, such as using analogies or visual aids. Mention your success in ensuring stakeholders understand the value of AI solutions and the impact on their operations.

Discuss the importance of fine-tuning in optimizing model performance for specific tasks and datasets, as well as how it impacts the overall effectiveness and accuracy of AI solutions in practical scenarios.

Articulate your passion for AI, interest in the company's innovative projects, and how your skills align with the team's goals. Mention the aspects of the company's culture or mission that resonate with you and inspire your application.