GenAI & Machine Learning Engineer

Ethinc; Lausanne; Hybrid; CHF 120.000 - 180.000; Vollzeit

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 is an AI & data consultancy based at EPFL Innovation Park in Lausanne. Founded by EPFL alumni and industry engineers, we build AI systems that hold up in real organizations: custom internal tools, machine learning, computer vision, and production-grade deployments shaped around client workflows, data, and constraints. Our projects span multiple industries, and we work closely with clients from day one through delivery and maintenance.

Learn more about our work, expertise, and approach at ethinc.ch.

The role

We are looking for a GenAI & ML Engineer who can contribute across the full AI development lifecycle: from backend systems and data pipelines to machine learning models, LLM applications, deployment, and technical documentation.

You will work on real client projects where AI, data engineering, software architecture, and practical deployment constraints meet.

You will contribute to systems involving APIs, data processing, model development, LLM integration, retrieval-augmented generation, computer vision, automation workflows, and internal tools for client organizations. Depending on the project, you may work on prototypes, production deployments, monitoring, evaluation, or maintenance of existing systems.

What you will work on

You will contribute to projects involving:

• backend systems and APIs supporting AI and data applications;
• Python-based services using frameworks such as FastAPI, Flask, or similar;
• machine learning pipelines, model training, evaluation, and deployment;
• LLM-powered applications, including prompt engineering, structured outputs, tool use, and retrieval-augmented generation;
• vector search, embeddings, semantic search, and document-processing workflows;
• data pipelines involving SQL, Python, APIs, files, object storage, and structured/unstructured data;
• computer vision or image-processing workflows where relevant;
• DevOps and deployment for AI/ML workloads using tools such as Docker, CI/CD, cloud services, or containerized environments;
• monitoring, testing, debugging, and improving deployed AI systems;
• internal tools and dashboards for client organizations;
• technical documentation, handover material, and client-facing explanations.

What we look for

We are looking for someone with a strong technical foundation and the ability to learn across domains. You should have:

• solid programming skills, especially in Python;
• understanding of machine learning fundamentals and practical model development;
• familiarity with backend development, APIs, databases, and data processing;
• interest or experience in LLM applications, RAG systems, embeddings, or AI agents;
• ability to work with messy real-world data and turn it into usable systems;
• Some level of comfort navigating ambiguity, changing requirements, and multiple projects at the same time;
• Professional working proficiency in English and French;
• ability to explain technical topics clearly to both technical and non-technical stakeholders;
• client-facing confidence, or the willingness to develop it;
• a serious, reliable, and pragmatic approach to engineering;
• availability to work on-site in Lausanne, or willingness to relocate.

Nice to have

It would be a plus if you have experience or interest in one or more of the following:

• data engineering tools and workflows;
• computer vision, OCR, document AI, or image-processing systems;
• client-facing technical work, consulting, internships, or project-based delivery;
• academic or applied projects in AI, data science, software engineering, or computer science.
• You do not need to know everything already. We care more about strong foundations, learning speed, judgment, and the ability to build responsibly than about checking every box.

What we offer

• A strong learning environment with direct access to experienced engineers and AI/data specialists;
• Real projects with real users, real constraints, and measurable impact;
• Exposure to the full lifecycle of AI systems, from early scoping to production deployment;
• A small, collaborative team with high standards and genuine respect for working conditions;
• Direct involvement in client discussions and technical decision-making;
• A workplace at EPFL Innovation Park, at the center of Switzerland’s AI, research, and deep-tech ecosystem;
• A culture built on trust, intellectual honesty, responsibility, and room to grow.

Practical information

• Employment rate: Full-time, 100%
• Expected start: 1st of October 2026
• Working arrangement: Hybrid

Candidate Data

Ethinc processes the personal data submitted through applications solely for recruitment purposes. Access is limited to the people involved in the selection process.

Applications that are not retained will be deleted after the recruitment process unless the candidate agrees to their information being retained for future opportunities. References will only be contacted with the candidate’s prior consent.