GenAI & ML Engineer: Real-World AI Systems

Ethinc

Lausanne

Hybrid

CHF 120.000 - 180.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Learning environment
Real projects with real users
Hybrid work
EPFL Innovation Park location

Zusammenfassung

Ethinc, an AI & data consultancy based at EPFL Innovation Park in Lausanne, is hiring a GenAI & ML Engineer to work on real client projects. You will contribute across the full AI lifecycle, from data pipelines to model deployment, including LLM integration, retrieval-augmented generation, and AI-enabled tooling.

You will also handle vector search, embeddings, and document-processing workflows, with a focus on robust production deployments and clear technical documentation.

Qualifikationen

  • Strong technical foundation across AI and software engineering.
  • Proficiency in Python and backend development best practices.
  • Experience with ML model development and evaluation.
  • Familiarity with LLM applications, RAG, embeddings, or AI agents.
  • Ability to work with real-world data and deliver usable systems.

Aufgaben

  • Contribute to full AI development lifecycle from data pipelines to ML models.
  • Develop and deploy Python-based services (FastAPI/Flask).
  • Build and optimize ML pipelines, model training, evaluation, and deployment.
  • Create LLM-powered applications and retrieval-augmented generation features.
  • Implement dashboards, monitoring, and client-facing documentation.

Kenntnisse

Python
ML fundamentals
Backend development
LLM / RAG
Data processing

Tools

FastAPI
Flask
Docker
CI/CD
Cloud services

Jobbeschreibung

Ethinc, an AI & data consultancy based at EPFL Innovation Park in Lausanne, is hiring a GenAI & ML Engineer to work on real client projects. You will contribute across the full AI lifecycle, from data pipelines to model deployment, including LLM integration, retrieval-augmented generation, and AI-enabled tooling.

You will also handle vector search, embeddings, and document-processing workflows, with a focus on robust production deployments and clear technical documentation.

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