11 beste Stellen als data science in heidelberg – aktuell auf Personalsuche

Junior Applied AI Engineer (all genders)
Accenture —Mannheim
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- Bachelor
1 Tag
Digital Defense Platform Architect (all genders)
Accenture —Mannheim
- Vollzeit
- Systemdesign
- Personalführung
- Teamleitung
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
14 Tage
Postdoctoral Researcher (m/f/d) - Neuropeptide Research
Zentralinstitut für Seelische Gesundheit —Mannheim
- Teilzeit
- Doktorat
1 Tag
Postdoctoral Senior Scientist – Innovative Drugs (all genders) | 2-year fixed-term contract | Full-time
AbbVie —Ludwigshafen am Rhein
- Vollzeit
- Doktorat
1 Tag
Duales Bachelorstudium Wirtschaftsinformatik in der Studienrichtung Software Engineering 2027 (m/w/d)
Freudenberg Service KG —Weinheim
- Englisch
- Hochschulreife
- Mathematikkenntnisse
- Kostenbeteiligung am Arbeitsweg
- Weiterbildungsprogramme
DHBW - Wirtschaftsinformatik (m/w/d) 2027
GEBHARDT Fördertechnik GmbH —Sinsheim
- Hochschulreife
Masterand (m/w/d) / Werkstudent (m/w/d)
tmax Germany GmbH —Mannheim
- Master
- Kommunikationsfähigkeit
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
1 Tag
Teamlead SAP Business Technology Platform (SAP BTP) (m/w/d)
cbs Corporate Business Solutions GmbH —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Personalführung
- Teamleitung
- Mit Reiseanteil
- Weiterbildungsprogramme
Direkt bewerben
SAP Manager Enterprise & Cloud Integration (m/w/d)
cbs Corporate Business Solutions GmbH —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Salesforce
- Personalführung
- Teamleitung
- Weiterbildungsprogramme
Direkt bewerben
Senior Business Intelligence & Data Engineer (m/w/d)
inexogy smart metering GmbH & Co. KG —Mannheim
- Vollzeit
- Azure
- Informatik
- Datenanalyse
- Homeoffice-Möglichkeit
- Mitarbeiter-Rabatt
7 Std.
Software Engineer Enablement and Product
kausable GmbH —Heidelberg
- 50.000 € – 105.000 € pro Jahr
- Hybrides Arbeiten
Direkt bewerben
5 Std.

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Digital Defense Platform Architect (all genders)
Accenture —Mannheim
Du entwickelst modulare, aufrüstbare und softwaredefinierte Systeme, die neue Standards setzen. KI-gestützte Ansätze und digitale Zwillinge nutzt du, um…
14 Tage

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Junior Applied AI Engineer (all genders)

Accenture -
Mannheim

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 1 Tag

Qualifikationen

Informatik
NoSQL
Master
Bachelor
Computertechnik

Vollständige Stellenbeschreibung

We are building the next generation of AI-native engineering talent engineers who use AI as a core part of how they work, not as an add-on. As an AI Engineer (Software), you will design, build, and ship production-grade software across the full stack, using AI-assisted tooling as standard daily practice alongside your core engineering skills.

You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems — understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This is not a stepping-stone role: it is a core engineering function in the most in-demand part of the market, with a direct pathway to the Forward Deployed Engineer program for those who develop agentic depth.

We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity — combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering.

Key Responsibilities

Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality;
Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers;
Apply AI across the full software delivery lifecycle: AI-generated tests, AI-assisted debugging, AI-accelerated code review, and prompt engineering for development tasks;
Own the quality of AI-generated outputs in your delivery scope, exercise engineering judgment about reliability, limitations, and failure modes; know when AI output is production-ready and when it is not;
Define and track KPIs to evaluate the effectiveness and ROI of AI-assisted workflows; present AI productivity and quality metrics to project stakeholders;
Own delivery end-to-end — from design through to production support — in Agile sprint cycles alongside client engineering teams
Contribute to shared knowledge bases, reusable components, and internal AI tooling standards that benefit the wider team
Build and integrate the application layers, APIs, and interfaces that connect full-stack systems to agentic backends — understanding data flows, context handoffs, and integration points between your code and AI pipelines.

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field;
Exposure to commercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects);
Proficiency in at least one primary backend language: Python, Java, or TypeScript;
Demonstrated hands-on experience using AI tools actively in day-to-day engineering work — with practical examples of how AI was used to solve real problems, iterate on outputs, and improve delivery; including direct experience calling LLM APIs in production code with an understanding of token management, latency, and cost tradeoffs;
Basic understanding of web technologies including JavaScript, HTML, and CSS;
Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines;
Understanding of Agile delivery fundamentals;
Experience with databases — SQL or NoSQL;
Ability to validate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use;
Familiarity with agentic system concepts — awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full-stack applications connect to agent-based architecture; production experience preferred, conceptual understanding required.

What We Offer

Access to structured AI certifications, continuous learning opportunities, and more than 30,000 training resources to accelerate your career development;
The opportunity to work with leading AI technologies and gain exposure to teams across Anthropic, OpenAI, Microsoft, and Google ecosystems;
Flexible working models, including hybrid working options that support work-life balance;
Mentoring, coaching, and clear career pathways toward advanced AI and Forward Deployed Engineering roles;
Exciting projects across industries, technologies, and enterprise environments, providing exceptional breadth of experience.

#LI-EU

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Erweiterte Suche

data science Jobs in heidelberg

Junior Applied AI Engineer (all genders)

Digital Defense Platform Architect (all genders)

Postdoctoral Researcher (m/f/d) - Neuropeptide Research

Postdoctoral Senior Scientist – Innovative Drugs (all genders) | 2-year fixed-term contract | Full-time

Duales Bachelorstudium Wirtschaftsinformatik in der Studienrichtung Software Engineering 2027 (m/w/d)

DHBW - Wirtschaftsinformatik (m/w/d) 2027

Masterand (m/w/d) / Werkstudent (m/w/d)

Teamlead SAP Business Technology Platform (SAP BTP) (m/w/d)

SAP Manager Enterprise & Cloud Integration (m/w/d)

Senior Business Intelligence & Data Engineer (m/w/d)

Software Engineer Enablement and Product

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