Home › Companies › Zellerfeld › AI Engineer
AI Engineer
Zellerfeld · Hamburg · Deleted · Personio
Job facts
| Field | Value |
|---|---|
| Company | Zellerfeld |
| Title | AI Engineer |
| Normalized title | - |
| Department / team | Software / Permanent Employee |
| Location | Hamburg |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | deleted |
| ATS provider | Personio |
| Posted / first seen | 2025-07-24 / 2026-05-30 |
| Changed / last seen | 2026-06-04 / 2026-06-02 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Zellerfeld. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Personio. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Software. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Zellerfeld |
| Source | b1cbec90-c3ad-42de-b72c-a7521edd7996 |
| ATS provider | Personio |
Description
Your mission
To design, develop, and deploy innovative artificial intelligence and machine learning models that enhance our product capabilities, improve maintanance, drive user engagement, and solve complex business problems. The AI Engineer will be a key contributor to our company's growth and technological advancement.
Key Responsibilities: Design, build, and maintain scalable and robust AI/ML models and pipelines. Collaborate with data scientists, software engineers, and product managers to understand requirements and translate them into technical solutions. Develop and implement algorithms for data processing, feature engineering, and model training. Integrate AI/ML models into our existing software applications and infrastructure. Conduct experiments and evaluate the performance and accuracy of models. Stay abreast of the latest advancements in AI, machine learning, and deep learning. Write clean, maintainable, and well-documented code. Contribute to the entire machine learning lifecycle, from data acquisition to model deployment and monitoring.
Your profile
Essential: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role. Strong programming skills in Python and proficiency with its data science and machine learning libraries (e.g., NumPy, Pandas, Scikit-learn). Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. Solid understanding of machine learning algorithms, data structures, and software engineering principles. Experience with cloud platforms (AWS or GCP). Excellent problem-solving and analytical skills. Strong communication and teamwork abilities.
Desirable:
Experience with Natural Language Processing (NLP) or Computer Vision projects. Familiarity with MLOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines). Contributions to open-source AI/ML projects. Experience working in an Agile development environment.
Why us?
At Zellerfeld, we’re revolutionizing the footwear industry with cutting-edge 3D printing technology, and we want you to be part of this transformation. Our team is made up of engineers, designers, entrepreneurs, and innovators who thrive in a collaborative environment where every voice matters. We value contrarian thinking, humility, and continuous self-improvement, fostering a culture of innovation without rigid hierarchies. Diversity and inclusion are at our core—we focus on skills and passion, not labels. By joining us, you’ll help shape the future of sustainable, ethical footwear and make a lasting impact on the industry. Let’s build the future together!
Full job record
| Job ID | c91f4c43a8791ae43bb95f9fae9862d75f70a53d |
| Org ID | 8ae2b7f6-dc93-460c-90c9-49a8dc134fec |
| Source ID | b1cbec90-c3ad-42de-b72c-a7521edd7996 |
| Board ID | b1cbec90-c3ad-42de-b72c-a7521edd7996 |
| Provider | personio |
| Provider Job Key | 2262409 |
| Title | AI Engineer |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | Hamburg |
| Department | Software |
| Team | Permanent Employee |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | Hamburg |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://zellerfeld.jobs.personio.com/job/2262409?language=en |
| Apply URL | https://zellerfeld.jobs.personio.com/job/2262409?language=en |
| First Seen At | 2026-05-30 06:02:25Z |
| Last Seen At | 2026-06-02 10:16:54Z |
| Last Checked At | 2026-06-04 11:50:24Z |
| Last Changed At | 2026-06-04 11:50:24Z |
| Inactive At | 2026-06-04 11:50:24Z |
| Source Posted At | 2025-07-24 15:17:15Z |
| Source Updated At | — |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=personio/board=zellerfeld.com/date=2026-06-02/2026-06-02T10-16-53-645Z-95b1c45b9982aaff80612dc6757db751825369b9d2c0016a41b52ff92c5f7a0b.json |
Event Fields
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"name": "Your mission",
"value": "To design, develop, and deploy innovative artificial intelligence and machine learning models that enhance our product capabilities, improve maintanance, drive user engagement, and solve complex business problems. The AI Engineer will be a key contributor to our company's growth and technological advancement.<br><br><strong>Key Responsibilities:</strong><ul><li>Design, build, and maintain scalable and robust AI/ML models and pipelines.</li><li>Collaborate with data scientists, software engineers, and product managers to understand requirements and translate them into technical solutions.</li><li>Develop and implement algorithms for data processing, feature engineering, and model training.</li><li>Integrate AI/ML models into our existing software applications and infrastructure.</li><li>Conduct experiments and evaluate the performance and accuracy of models.</li><li>Stay abreast of the latest advancements in AI, machine learning, and deep learning.</li><li>Write clean, maintainable, and well-documented code.</li><li>Contribute to the entire machine learning lifecycle, from data acquisition to model deployment and monitoring.</li></ul><br><br>"
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