7 beste Stellen als machine learning scientist in berlin, be – aktuell auf Personalsuche

AI Delivery Lead
Abacus Medicine —Berlin
- Vollzeit
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- Softwareentwicklung
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SumUp —Berlin
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- AWS
- Empfehlungsprogramm
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1Komma5° GmbH —Berlin
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Zalando —Berlin
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Senior Software Engineer (m/f/d)
Axel Springer National Media & Tech GmbH & Co. KG —Berlin
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machine learning scientist jobs near berlin, be

AI Delivery Lead

Abacus Medicine -
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Master
Machine Learning
Softwareentwicklung
Agile
Künstliche Intelligenz
Analytik

Vollständige Stellenbeschreibung

Drive meaningful change

Are you ready to shape how a global organization puts generative AI to work? Join us as an AI Delivery Lead and sit at the heart of a team building real, production-grade AI solutions – not prototypes that gather dust. If you thrive at the intersection of technical depth and cross-functional leadership, and you want to drive impact across an entire organization rather than within a single discipline, this is the role for you.

Get a glimpse of our world

The AI for Automation team is a small, effective unit within our wider Data, Analytics & AI function – focused on delivering generative AI solutions that create measurable efficiency and value across operational and regulated domains. We work cross-functionally with business units, Digital, and adjacent data and analytics teams, moving fast from idea to proof-of-concept to production. As our AI Delivery Lead, you will be the connective tissue between engineering and business – owning delivery end-to-end in an environment where getting things into production is not the exception, it is the expectation.

Your main responsibilities include:

Taking ownership of end-to-end delivery across generative AI projects – from problem framing and discovery through proof-of-concept, proof-of-value, and into production – with accountability for scope, priorities, and outcomes.
Ensuring solutions are built for production from the start – with scalability, security, compliance, and maintainability as non-negotiables, not afterthoughts.
Driving prioritization and decision-making across active projects and ongoing maintenance: defining what gets built, in what order, and why – coordinating with engineers and LLMOps to ensure execution follows.
Acting as the technical bridge between engineering and business: understanding what is being built deeply enough to challenge assumptions, spot risks early, and translate between stakeholder needs and engineering realities.
Leading cross-functional project setups across our Data, Analytics & AI organization to build solutions together with teams of engineers, analysts, data scientists, and BI specialists.
Pushing the frontier – actively identifying new approaches, emerging capabilities, and opportunities to apply generative AI in ways that go beyond the current roadmap.
Contributing to solution development directly – not just overseeing it. You are expected to get your hands into prototyping, evaluation, and technical problem-solving when it matters.

Fuel for your success in the role

You have built things. You take ownership of delivery without waiting to be told what to do next. You are equally at ease in a technical architecture discussion and a business requirements workshop, and you adapt your communication accordingly. You understand that in a small, fast-moving team, roles are fluid – some days you run the process, other days you roll up your sleeves and contribute directly to what is being built. You are comfortable with that ambiguity and see it as an opportunity. You also know how to get the best out of people without having formal authority over them.

In addition, your profile includes:

A strong technical foundation in AI, machine learning, or software development – you have built or operated systems.
4+ years of experience within data, analytics, or software development, including hands-on experience in a delivery or technical lead capacity – ideally in consulting, digital product, or a high-performing data & AI team.
Strong technical fluency in AI or generative AI: you understand how these systems are built, what makes them complex, and what good delivery looks like in practice.
Proven ability to drive prioritization and delivery across complex, multi-stakeholder initiatives where scope and requirements evolve.
Strong communication skills: you translate technical complexity into clear business language and vice versa, without losing the nuance.

A plus for this role

Practical experience with generative AI development: prompt engineering, retrieval-augmented generation, LLM-based applications, or LLMOps.
A background that spans both technical delivery and business engagement – you have done both, not just one.
Experience implementing and orchestrating agile methodologies for Software, Data Science or AI deliveries.

Are you interested?

If you want to apply for the position, please follow the link and attach your CV and cover letter.

Would you like to know more about us?

Moving Healthcare. Moving You.

In Abacus Medicine Group, you’ll experience the power of Moving Healthcare. With our change mindset, we're moving the industry and improving healthcare as we broaden access to medicine.

But it's not just about moving healthcare, it's about Moving You. You’ll be part of a caring community of more than 1,500 people across the World. With us, you will be valued, empowered, and have a direct impact on driving change. Let's access the future of medicine and make a difference together. Your move.

Department

Digital

Locations

Berlin

Employment type

Full-time

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Erweiterte Suche

machine learning scientist Jobs in berlin, be

AI Delivery Lead

Senior AI Backend Engineer

Senior Software Engineer - Energy Markets (m/f/d)

Principal Software Engineer - Risk Management / Risk AI (all genders)

Senior Data Platform Engineer (d/f/m)

Senior Software Engineer (m/f/d)

Lead Credit Risk Data Scientist

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Moving Healthcare. Moving You.

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