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AI Engineer

Zellerfeld · Hamburg · Active · 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	active
ATS provider	Personio
Posted / first seen	2026-06-02 / 2026-06-03
Changed / last seen	2026-06-03 / 2026-06-06

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 You'll design, develop, and deploy AI and machine learning solutions that push the boundaries of what's possible in footwear manufacturing. As our AI Engineer, you'll be a key contributor to Zellerfeld's technological advancement — building the models and pipelines that improve our products, enhance maintenance, and solve complex problems no one has tackled before. From data acquisition to model deployment, you'll own the full ML lifecycle and help shape the intelligent systems behind the factory of tomorrow. What you'll do Build and maintain ETL pipelines that turn raw scan, telemetry, and production data into something models can actually learn from Design, build, and maintain ML models and pipelines that solve real production and product problems Own the full lifecycle: data acquisition, feature engineering, training, deployment, monitoring, and iteration Integrate models into our software and production systems — they have to work in the real world, not just in notebooks Run experiments, evaluate honestly, and know when a model is good enough vs. when it isn't Collaborate with software engineers, hardware engineers, and product teams to translate ambiguous problems into ML solutions (and to recognize when ML isn't the right tool) Stay current with the field without chasing every new paper Your profile Proven experience as an ML/AI Engineer, with models you've actually shipped to production Strong Python and fluency with the standard data/ML stack (NumPy, Pandas, scikit-learn) Solid ETL experience — designing and maintaining pipelines that handle real-world messy data at scale Hands-on deep learning experience with PyTorch and/or TensorFlow Solid grounding in ML fundamentals — you can explain why a model is failing, not just retrain it with different hyperparameters Software engineering discipline: clean code, version control, testing, and the ability to operate models you've built Cloud experience (AWS or GCP) Nice to have: Computer Vision experience — directly relevant to scanning, quality control, and production NLP, especially applied to internal tools or customer-facing experiences MLOps in practice (Docker, Kubernetes, CI/CD for models, monitoring/drift detection) Experience working with sensor, telemetry, or manufacturing data Open-source contributions in the ML space Why us? At Zellerfeld, you will find a multidisciplinary team of engineers, SW and HW specialists, entrepreneurs, designers, and students with a common passion. We embrace contrarian thinking, humility, pushing limits, and improving ourselves. We utilize a flat hierarchy, and we want your voice to be heard. We also care about bonding because we want to be a tight-knit community, so be prepared to spend quality time with everyone, including the CEO! As a company specializing in both hardware and software, we value close collaboration within our team. Therefore, we are seeking candidates who can join us at our office in Hamburg.

Full job record

Job ID	d67949dfc09060109968730a2e4897ef15c14ad2
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	2655045
Title	AI Engineer
Normalized Title	—
Status	active
Active	yes
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/2655045?language=en
Apply URL	https://zellerfeld.jobs.personio.com/job/2655045?language=en
First Seen At	2026-06-03 12:36:26Z
Last Seen At	2026-06-06 07:51:55Z
Last Checked At	2026-06-06 07:51:55Z
Last Changed At	2026-06-03 12:36:26Z
Inactive At	—
Source Posted At	2026-06-02 16:14:13Z
Source Updated At	—
Raw Payload Uri	s3://job-postings-prod-raw-590183727216/raw/provider=personio/board=zellerfeld.com/date=2026-06-06/2026-06-06T07-51-54-958Z-928bb7128ac81473053ef4f0ed8a6308ea487f6745e0c405fa0225a176efc8b3.json

Event Fields

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  "last_changed_at": "2026-06-03T12:36:26.079Z",
  "active_status": "active"
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Parsed Structured

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Extensions

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Native Structured

{
  "id": "2655045",
  "name": "AI Engineer",
  "office": "Hamburg",
  "keywords": [],
  "schedule": "full-time",
  "createdAt": "2026-06-02T16:14:13+00:00",
  "seniority": "experienced",
  "department": "Software",
  "occupation": "software_and_web_development",
  "subcompany": null,
  "employmentType": "permanent",
  "jobDescriptions": [
    {
      "name": "Your mission",
      "value": "<span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">You'll design, develop, and deploy AI and machine learning solutions that push the boundaries of what's possible in footwear manufacturing. As our AI Engineer, you'll be a key contributor to Zellerfeld's technological advancement — building the models and pipelines that improve our products, enhance maintenance, and solve complex problems no one has tackled before. From data acquisition to model deployment, you'll own the full ML lifecycle and help shape the intelligent systems behind the factory of tomorrow.</span>"
    },
    {
      "name": "What you'll do",
      "value": "<ul style=\"margin-top:0;margin-bottom:0;\"><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Build and maintain ETL pipelines that turn raw scan, telemetry, and production data into something models can actually learn from</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Design, build, and maintain ML models and pipelines that solve real production and product problems</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Own the full lifecycle: data acquisition, feature engineering, training, deployment, monitoring, and iteration</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Integrate models into our software and production systems — they have to work in the real world, not just in notebooks</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Run experiments, evaluate honestly, and know when a model is good enough vs. when it isn't</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Collaborate with software engineers, hardware engineers, and product teams to translate ambiguous problems into ML solutions (and to recognize when ML isn't the right tool)</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Stay current with the field without chasing every new paper</span></p></li></ul>"
    },
    {
      "name": "Your profile",
      "value": "<ul style=\"margin-top:0;margin-bottom:0;\"><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Proven experience as an ML/AI Engineer, with models you've actually shipped to production</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Strong Python and fluency with the standard data/ML stack (NumPy, Pandas, scikit-learn)</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Solid ETL experience — designing and maintaining pipelines that handle real-world messy data at scale</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Hands-on deep learning experience with PyTorch and/or TensorFlow</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Solid grounding in ML fundamentals — you can explain why a model is failing, not just retrain it with different hyperparameters</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Software engineering discipline: clean code, version control, testing, and the ability to operate models you've built</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Cloud experience (AWS or GCP)</span></p></li></ul><br><br><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;text-decoration:none;\">Nice to have:</span></p><br><ul style=\"margin-top:0;margin-bottom:0;\"><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Computer Vision experience — directly relevant to scanning, quality control, and production</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">NLP, especially applied to internal tools or customer-facing experiences</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">MLOps in practice (Docker, Kubernetes, CI/CD for models, monitoring/drift detection)</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Experience working with sensor, telemetry, or manufacturing data</span></p></li><li style=\"list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\"><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">Open-source contributions in the ML space</span></p></li></ul>"
    },
    {
      "name": "Why us?",
      "value": "<p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">At Zellerfeld, you will find a multidisciplinary team of engineers, SW and HW specialists, entrepreneurs, designers, and students with a common passion. We embrace contrarian thinking, humility, pushing limits, and improving ourselves. We utilize a flat hierarchy, and we want your voice to be heard. We also care about bonding because we want to be a tight-knit community, so be prepared to spend quality time with everyone, including the CEO!</span></p><br><p style=\"line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;\"><span style=\"font-size:11pt;font-family:Arial, sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">As a company specializing in both hardware and software, we value close collaboration within our team. Therefore, we are seeking candidates who can join us at our office in Hamburg. </span></p>"
    }
  ],
  "occupationCategory": "it_software",
  "recruitingCategory": "Permanent Employee"
}

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