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2.469

Mechanical jobs in Germany

AI Solution Architect (m/f/d)

Merantix

Berlin
On-site
EUR 70,000 - 90,000
28 days ago
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Verfahrensmechaniker (m / w / d)

Bertrandt AG

Koblenz
On-site
EUR 35,000 - 45,000
28 days ago

Expert Sales Manager (m/w/d) im Bereich Compounding & Recycling

KraussMaffei Group GmbH

Laatzen
On-site
EUR 60,000 - 80,000
29 days ago

Strategischer Einkäufer (m/w/d) - Elektronikkomponenten

Böcker Maschinenwerke GmbH

Werne
Hybrid
EUR 55,000 - 75,000
29 days ago

Senior AIT Engineer - Structural Testing (m/f/d)

Isar Aerospace

Ottobrunn
On-site
EUR 60,000 - 80,000
29 days ago
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Strategischer Einkäufer (m/w/d)

Montanhydraulik GmbH

Holzwickede
On-site
EUR 50,000 - 70,000
29 days ago

Quality Assurance R&D Specialist (m/w/d)

Coloplast

Nieder-Olm
On-site
EUR 55,000 - 75,000
29 days ago

Mobile Service Technician - Germany Focus

Zhejiang Dingli Machinery Co.,ltd

Krefeld
On-site
EUR 40,000 - 55,000
29 days ago
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Sachbearbeiter Technische Dokumentation (m/w/d)

KraussMaffei Group GmbH

München
On-site
EUR 45,000 - 60,000
29 days ago

Customer Service Specialist - with german

VAT Vakuumventile AG

Burkau
Hybrid
EUR 40,000 - 55,000
29 days ago

Technical Service Specialist (w/m/d)

HÖRMANN Holding GmbH & Co. KG

München
On-site
EUR 48,000 - 75,000
29 days ago

Abschlussarbeit / Praktikum im Bereich Machine Learning (m/w/d)

CLAAS Industrietechnik GmbH

Nordrhein-Westfalen
Hybrid
EUR 60,000 - 80,000
29 days ago

Sub-system Engineer for CCTV (f/m/d)

ALSTOM Gruppe

Hennigsdorf
On-site
EUR 60,000 - 80,000
29 days ago

Strategischer Einkäufer (m/w/d)

Böcker Maschinenwerke GmbH

Werne
Hybrid
EUR 50,000 - 70,000
29 days ago

Junior CAE & AI Engineer (f/m/x)

BMW Group

München
On-site
EUR 60,000 - 80,000
29 days ago

Bachelor of Science – Wirtschaftsinformatik (m/w/d) für das Jahr 2026

Vogelsang GmbH & Co. KG

Essen (Oldenburg)
On-site
EUR 40,000 - 50,000
29 days ago

Personalsachbearbeiter (m/w/d)

HAPPICH GmbH

Wuppertal
On-site
EUR 40,000 - 60,000
29 days ago

Assistenz (m/w/d) für Digitalisierungsprojekte

Calanbau Brandschutzanlagen GmbH

Hamburg
On-site
EUR 40,000 - 55,000
29 days ago

Resident Field Service Technician

Murphy Tractor & Equipment Co.

Gering
On-site
EUR 35,000 - 50,000
29 days ago

Dietary Aide

CareCore Health

Braunschweig
On-site
EUR 20,000 - 40,000
29 days ago

Dietary Aide

CareCore at Willowood

Braunschweig
On-site
EUR 20,000 - 40,000
29 days ago

ZFA mit Herz gesucht

Schroeder Valves GmbH & Co. KG

Engelskirchen
On-site
EUR 40,000 - 60,000
29 days ago

Senior Steam Turbine Aerodynamic Engineer

RX2 Solutions

Lüneburg
Hybrid
EUR 70,000 - 90,000
29 days ago

Technischer Teamkoordinator Service (m/w/d)

WP Kemper GmbH

Westhausen
On-site
EUR 45,000 - 60,000
29 days ago

Bediener Lackieranlage (m/w/d)

Me-Ma-Tec Industriedienste GmbH

Leipzig
On-site
EUR 40,000 - 60,000
29 days ago

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Similar jobs:

Mechanical Engineer jobs
AI Solution Architect (m/f/d)
Merantix
Berlin
On-site
EUR 70.000 - 90.000
Full time
28 days ago

Job summary

An innovative AI startup based in Berlin is seeking a Solutions Architect to bridge AI technology with manufacturing challenges. This role involves designing scalable AI solutions, providing strategic client advisory, and managing technical projects that drive digital transformation in manufacturing. Ideal candidates will have a relevant degree and experience in industrial operations, with proficiency in cloud platforms and fluent communication in German and English.

Benefits

Visa Sponsorship
Annual learning and development budget
Dynamic and open working culture
Sabbatical leave
Hardware allowance
Employee benefits allowance for transportation, sports, or groceries

Qualifications

  • Hands-on experience in manufacturing environments.
  • Practical knowledge of industrial operations and manufacturing processes.
  • Strong understanding of data and cloud architectures.

Responsibilities

  • Design and deliver AI solutions for manufacturing clients.
  • Develop technical architectures tailored to client needs.
  • Support pre-sales efforts by partnering with account managers.
  • Serve as manufacturing domain expert in client engagements.
  • Align AI initiatives with operational realities.

Skills

Confidence in industrial operations
Strong communication skills
Fluency in German and English

Education

Degree in Industrial Engineering, Mechanical Engineering, or Computer Science

Tools

AWS
Azure
GCP
MES
SCADA
PLCs
IoT platforms
Databricks
Job description
What we do

Merantix Momentum is a Berlin-based AI startup focusing on accelerating AI adoption across many industries through B2B solutions, as well as publicly funded research projects. We work across several domains, including manufacturing, healthcare, the German public sector, and many more, transforming businesses as an external machine learning department. We achieve this using our core expertise in state-of-the-art machine learning combined with our culture of rapid iterations to build scalable solutions.

The Solutions Architect (AI for Manufacturing) role is a unique opportunity to shape the future of industrial AI by bridging cutting‑edge machine learning with real‑world manufacturing challenges. You’ll design and deliver end‑to‑end AI solutions across the industrial value chain, act as a strategic advisor to clients, and translate complex operational needs into scalable, production‑ready systems. Combining technical leadership, domain expertise, and strong client engagement, this role sits at the intersection of innovation and execution, driving digital transformation in one of the most impactful sectors of the economy.

Your role
  • Design and deliver end‑to‑end AI solutions for manufacturing clients across the industrial value chain— architecting scalable, production‑ready data pipelines and AI systems that combine domain knowledge with cutting‑edge machine learning.

  • Develop high‑level technical architectures tailored to each client’s IT/OT landscape, ensuring seamless integration with existing systems and data infrastructure.

  • Support pre‑sales efforts by partnering with account managers, evaluating the feasibility of AI use cases, and providing technical leadership in crafting compelling proposals and RFP responses.

  • Serve as the manufacturing domain expert in client engagements, applying deep process understanding to implement AI solutions that deliver measurable business value—from cost reduction to new digital revenue streams.

  • Bridge strategy and execution by steering key AI initiatives, aligning use cases with industrial standards and operational realities, and guiding our research and engineering teams.

  • Drive thought leadership in AI for manufacturing through industry engagement, business development support, and active participation in events, publications, and public forums.

Your profile

You’re a confident, technically fluent professional who thrives at the intersection of industrial operations, AI/ML, and enterprise IT. With hands‑on experience in manufacturing environments, you know how to translate complex operational challenges into data‑ and AI‑driven solutions that deliver real business value.

You bring deep domain expertise combined with strong communication skills, and you’re comfortable navigating both technical discussions and strategic conversations – whether on the shop floor or in the boardroom.

You would be a great fit if you have:

  • A degree in Industrial Engineering, Mechanical Engineering, Computer Science, or a related field, with solid exposure to AI/ML and data systems.

  • Practical experience with industrial operations and manufacturing processes, including OT/IT integration and systems such as MES, SCADA, PLCs, and IoT platforms.

  • A strong understanding of data and cloud architectures, and – ideally – hands‑on experience building AI/ML systems using platforms like AWS, Azure, or GCP.

  • Deep understanding of AI/ML fundamentals and approaches, along with familiarity with data engineering best practices and tools used in production environments (e.g. Databricks).

  • Experience integrating industrial data into AI pipelines while aligning solutions with operational constraints.

  • Proficiency in process mapping and requirements engineering, with familiarity in methodologies such as BPMN, SIPOC, or User Story Mapping.

  • A strong consulting presence: you’re value‑driven, persuasive, and skilled at framing AI opportunities during discovery and pre‑sales conversations.

  • Experience managing diverse stakeholders and driving alignment to enable AI adoption and digital transformation in industrial settings.

  • Fluency in both German and English.

What we offer
  • Engaging Topics and Excellence: We offer unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs.

  • International Team: We are a dynamic and international team.

  • We offer Visa Sponsorship.

  • Learning and Development: We provide an annual learning and development budget for attending conferences or purchasing educational resources to further develop our employees’ skills. We also hold weekly and monthly events around AI innovation and implementation.

  • Dynamic and open Working Culture: We have a very flat hierarchy, open 360° feedback, and flexibility in our work‑from‑home policy as well as working hours.

  • AI Ethics: We are committed to developing ethical AI software and actively foster open discussions on this topic within our team.

  • Brand new office space: Bright and open office situated on the AI Campus in Berlin;

  • Sabbatical leave;

  • Hardware allowance: We give you support to have all the equipment you would need to thrive in your job;

  • Employee benefits: We offer a monthly allowance per employee that can be allocated as desired to one of the following: Mobility & transportation (NAVIT), sports (Urban Sports Club) or groceries (Edenred).

About us

We are an equal‑opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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