Forward Deployed Engineer at NTT DATA Europe & Latam
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

18 Dec, 26

Salary

60000.0

Posted On

19 Sep, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description
  • 5+ years of experience in software engineering, AI engineering, data engineering, ML engineering, solution engineering, technical consulting, or related hands-on technical roles.
  • 2+ years of experience building or deploying AI, ML, GenAI, LLM, RAG, agentic AI, data science, or automation solutions.
  • Hands-on experience with programming languages and frameworks such as Python, JavaScript/TypeScript, FastAPI, Flask, React, LangChain, LlamaIndex, PyTorch, TensorFlow, or similar technologies.
  • Experience integrating APIs, data sources, model providers, workflow tools, and cloud services into working demos or prototypes.
  • Working knowledge of responsible AI, security, data handling, privacy, and enterprise deployment considerations.
  • Bachelor's degree or equivalent work experience.
  • Fluency in German and English


Preferred Skills


  • Experience with OpenAI, Anthropic, Mistral, Google/Gemini, Azure, AWS, GCP, Databricks, Snowflake, vector databases, model registries, and MLOps/LLMOps tooling.
  • Experience working directly with clients, sales teams, or product teams to rapidly prototype solutions under ambiguous conditions.
  • AI/ML, cloud, data engineering, or software engineering certifications.
  • Strong technical curiosity, client empathy, communication, bias for action, collaboration, and ability to explain complex technical concepts clearly.
  • Ability to travel as required for client and internal engagements.

How To Apply:

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Responsibilities
  • Unsere Kunden stehen vor komplexen strategischen und organisationalen Herausforderungen. KI wird dabei zunehmend Teil dieser Veränderung.Gemeinsam mit unseren Beratern entwickelst du Antworten auf Fragen wie:Wo kann KI in einem Unternehmen tatsächlich einen Unterschied machen?
  • Welche Prozesse lassen sich sinnvoll automatisieren?
  • Wie müssen Organisationen arbeiten, wenn KI Teil ihrer Wertschöpfung wird?
  • Welche Anwendungen sind technisch möglich – und welche wirtschaftlich sinnvoll?
  • Wie wird aus einem KI-Piloten eine Lösung, die im Unternehmen wirklich funktioniert?

Du bringst dabei die technologische Perspektive ein und entwickelst gemeinsam mit unseren Kunden konkrete Anwendungen.

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