20 beste Stellen als machine learning engineer in hönow – aktuell auf Personalsuche

Data Engineer, Paintshop (m/w/d) - Gigafactory Berlin-Brandenburg
Tesla —Grünheide (Mark)
- Vollzeit
- Azure
- Informatik
- Java
10 Tage
Machine Learning/C++ Engineer (3D Graphics & Computational Geometry)
Straumann Group —Berlin
- Vollzeit
- Doktorat
- Informatik
- Master
Machine Learning Intern, Generative AI Applications (m/f/d) - Gigafactory Berlin-Brandenburg
Tesla —Grünheide (Mark)
- Informatik
- Master
- Machine Learning
Senior Machine Learning Engineer
Tripledot Studios —Berlin
- Bachelor
- Machine Learning
- Softwareentwicklung
- Employee Assistance Program
- Kostenlose Verpflegung
8 Tage
Software Dev Engineer Intern Machine Learning, Amazon Robotics
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Informatik
- SQL
- AWS
Data Engineer, Fraud
Xcelirate —Berlin
- 98.000 € pro Jahr
- Vollzeit
- Homeoffice
- Datenbanken
- Bachelor
- Machine Learning
Direkt bewerben
Machine Learning Engineer (m/w/d) – MLOps & Software Engineering
flaschenpost SE —Berlin
- Vollzeit
- Hybrides Arbeiten
- Azure
- Englisch
- Machine Learning
Direkt bewerben
3 Tage
Machine Learning Engineer - AI Trainer - Freelance - 8-20 hrs/week - Remote
10x Team —Berlin
- 82 € – 132 € pro Stunde
- Homeoffice
- Machine Learning
- Künstliche Intelligenz
Direkt bewerben
AI Engineer (m/f/d)
Smartbroker AG —Berlin
- Vollzeit
- Informatik
- Java
- SQL
Direkt bewerben
Senior Data Engineer on Databricks (m/w/d)
Würth IT GmbH —Berlin
- Azure
- Java
- SQL
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Maschine Learning Engineer (m/w/d)
The Nunatak Group GmbH —Berlin
- Vollzeit
- Azure
- Informatik
- Englisch
- Weiterbildungsprogramme
1 Tag
Data Scientist/ML Engineer (m/f/d)
WebMD —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- SQL
- AWS
Direkt bewerben
AI & Machine Learning Engineer (all genders)
msg systems ag —Berlin
- Online-Bewerbung
- Azure
- Englisch
- Master
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
AI Engineer / Data Scientist (mwd) – Machine Learning & Generative AI
HMS Analytical Software GmbH —Berlin
- Teilzeit
- Hybrides Arbeiten
- Azure
- Informatik
- Englisch
- Erfolgsbeteiligung
- Flexible Arbeitszeiten
AI Engineer
Kuro Technology —Berlin
- 80.000 € – 120.000 € pro Jahr
- Vollzeit
- Azure
- Master
- AWS
Direkt bewerben
(JUNIOR) MACHINE LEARNING ENGINEER (M/W/D)
Gütersloh —Berlin
- Hybrides Arbeiten
- Azure
- Englisch
- Master
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
ML Engineer
Reflow —Berlin
- Vollzeit
- Homeoffice
- Machine Learning
- Python
Direkt bewerben
Senior Data Engineer (m/f/d)
Eberlein Kunz —Berlin
- Vollzeit
- Azure
- Englisch
- SQL
- Flexible Arbeitszeiten
Direkt bewerben
7 Tage
Data Engineering Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Azure
- Informatik
- SQL
Data Engineer (all genders)
GROPYUS —Berlin
- Machine Learning
- Künstliche Intelligenz
- Führungserfahrung
- Homeoffice-Möglichkeit
Direkt bewerben
8 Tage

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Weitere Job-Standorte erkunden

machine learning engineer jobs near hönow

Data Engineer, Paintshop (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla -
Grünheide (Mark)

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 10 Tagen

Qualifikationen

Power BI
Azure
Informatik
Big Data
Spark
NoSQL
Git
Tableau
Java
SQL
AWS
Bachelor
PostgreSQL
Scala
Python
MySQL

Vollständige Stellenbeschreibung

What to Expect

Tesla is revolutionizing the automotive industry with sustainable energy and advanced manufacturing. As a Data Engineer in the Paint Shop, you will help harness production data to optimize paint processes, support quality assurance, and improve operational efficiency. Working alongside senior engineers, you will build and maintain the data pipelines that integrate real-time data from paint lines, inspection systems, and automation tools, and turn it into datasets and dashboards the team relies on. Collaborating with cross-functional teams (Production Engineering, Controls, and Quality), you will help enable data-driven decisions that support Tesla's mission of accelerating the world's transition to sustainable energy through high-volume, defect-free vehicle production. This role suits an engineer with a solid technical foundation who wants to grow their impact in a fast-paced manufacturing environment.

What You'll Do

Data Pipeline Development: Build, maintain, and optimize ETL (Extract, Transform, Load) pipelines that process data from Paint Shop systems, including sensor data from coating robots, inspection cameras, and cycle time trackers. Contribute to pipeline design and keep them robust and integrated with Tesla's data platforms (e.g., cloud systems like AWS, Azure, or internal tools).
Data Integration and Management: Integrate data sources from manufacturing equipment (e.g., automated lines, EHS sensors, ERP systems) into unified datasets for analysis. Help maintain data lakes, warehouses, and streaming pipelines that support monitoring of paint quality, defect rates, and throughput. Deliver dashboard requests (e.g., for production metrics or defect tracking) and perform data validation to ensure accuracy, completeness, and reliability.
Performance and Quality: Monitor and improve existing data workflows to reduce latency and improve accuracy. Apply data governance and validation practices under the guidance of senior engineers to keep data compliant with EHS standards and manufacturing requirements.
Collaboration and Support: Work with Paint Shop teams (supervisors, engineers, and analysts) to understand their needs and translate them into data solutions. Support data-related projects such as dashboards for cycle time tracking or automated reporting for production metrics.
Problem-Solving and Growth: Contribute to initiatives that apply advanced technologies, such as machine learning for anomaly detection in paint defects or IoT data feeds. Help maintain and extend the iSVS (Internal Surface Vision System) for defect classification. Surface opportunities for process improvements, such as reducing paint material waste through data insights, and grow your technical depth across the stack.
Documentation: Keep clear documentation of the pipelines and processes you own. Follow Tesla's safety protocols, data privacy standards (e.g., GDPR), and sustainability goals.

What You'll Bring

Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent practical experience).
Experience: 2+ years of experience in data engineering or a closely related role. Exposure to manufacturing, automotive, or industrial data is a plus.
Proficiency in Python (Java or Scala a plus).
Working experience with data pipelines and at least one big data or streaming tool (e.g., Apache Spark, Kafka) or a willingness to learn.
Solid SQL skills (e.g., PostgreSQL, MySQL); exposure to NoSQL and orchestration tools (e.g., Airflow) is a plus.
Familiarity with API integrations and version control (Git).
Soft Skills: Good problem-solving ability, clear communication with technical and non-technical colleagues, and the ability to work well in a dynamic, high-pressure environment.
Other: Willingness to work in a manufacturing setting with occasional shift flexibility. Must pass Tesla's background check and safety training.

Preferred Qualifications

Exposure to MES systems, IoT platforms, or data visualization tools (Tableau/Power BI).
Basic understanding of manufacturing processes, such as paint application, quality inspection, or EHS compliance.
Interest in machine learning or AI for predictive analytics in production settings, including systems like iSVS.

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

Jetzt bewerben

Erweiterte Suche

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Data Engineer, Paintshop (m/w/d) - Gigafactory Berlin-Brandenburg

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Data Engineer, Fraud

Machine Learning Engineer (m/w/d) – MLOps & Software Engineering

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AI Engineer / Data Scientist (mwd) – Machine Learning & Generative AI

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