Make an Impact by:

Delivering AI and ML solutions that solve real business problems and create measurable value for teams across DCS
Owning the journey from business problem to live product, and improving it continuously after launch
Choosing the right approach for each business problem — whether deterministic automation, Machine Learning, Applied AI, agentic systems, or a combination of them
Shaping how DCS builds and operates AI, from engineering principles and architecture to evaluation, observability and production standards
Building the shared capabilities that let every team at DCS use AI faster and with more confidence

Your Profile

Strong hands-on experience in Machine Learning, Applied AI and Python, with solid software engineering fundamentals
Practical experience across the ML/AI product lifecycle, from data and modelling to deployment and monitoring
Solid understanding of modern AI engineering principles and design patterns, including LLMs and agentic AI
Pragmatic judgment in choosing the right technical approach for each business problem
A strong sense of ownership and clear communication with technical and non-technical colleagues

We Offer:

A unique opportunity combining the energy of a scale up with the power of BMW, Mercedes Benz Mobility & bp
Working on products & services with a high social impact
An international team of talented people who love what they do and live a collaborative spirit
An open minded culture with room for growth and the freedom to bring in own ideas
Subsidized gym membership
Subsidized office lunch benefit
Personal development budget for your professional growth
Monthly mobility budget
Up to 2 days of home office in a week
Offsite/ team events & much more and modern, sunny offices in Berlin & Munich

… and of course the classics: delicious coffee & tea, fresh fruits and an office dog friendly environment

At DCS we acknowledge the value of diversity, promote equality and challenge unfair discrimination. We strive to create an inclusive work environment, safe for anyone regardless of their gender identity, sexual orientation, abilities, ethnicity or race. We have the clear goal of driving diversity and inclusion across all dimensions and treat each applicant with the same respect and consideration.

How To Apply:

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Responsibilities

Make an Impact by:

Delivering AI and ML solutions that solve real business problems and create measurable value for teams across DCS
Owning the journey from business problem to live product, and improving it continuously after launch
Choosing the right approach for each business problem — whether deterministic automation, Machine Learning, Applied AI, agentic systems, or a combination of them
Shaping how DCS builds and operates AI, from engineering principles and architecture to evaluation, observability and production standards
Building the shared capabilities that let every team at DCS use AI faster and with more confidence

Your Profile

Strong hands-on experience in Machine Learning, Applied AI and Python, with solid software engineering fundamentals
Practical experience across the ML/AI product lifecycle, from data and modelling to deployment and monitoring
Solid understanding of modern AI engineering principles and design patterns, including LLMs and agentic AI
Pragmatic judgment in choosing the right technical approach for each business problem
A strong sense of ownership and clear communication with technical and non-technical colleagues

We Offer:

A unique opportunity combining the energy of a scale up with the power of BMW, Mercedes Benz Mobility & bp
Working on products & services with a high social impact
An international team of talented people who love what they do and live a collaborative spirit
An open minded culture with room for growth and the freedom to bring in own ideas
Subsidized gym membership
Subsidized office lunch benefit
Personal development budget for your professional growth
Monthly mobility budget
Up to 2 days of home office in a week
Offsite/ team events & much more and modern, sunny offices in Berlin & Munich

… and of course the classics: delicious coffee & tea, fresh fruits and an office dog friendly environment