20 meilleures offres (python, vaud) (à pourvoir)

GenAI & Machine Learning Engineer
Ethinc —Lausanne, VD
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- Niveau Master
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il y a 3 jours
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- 100%
- Microsoft Excel
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EH Group —Nyon, VD
- 100%
- Analyse de données
- Anglais
- Niveau Master
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Swissquote Bank —Gland, VD
- 100%
- Anglais
- Java
- Réseaux informatiques
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il y a 1 jour
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Adaptyv —Lausanne, VD
- 100%
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- Technologies de l'information
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il y a 2 jours
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Nexthink —Lausanne, VD
- 100%
- Travail hybride
- Gestion du personnel
- Niveau Doctorat
- Anglais
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il y a 2 jours
P2625 - Data Platform Engineer - Full Stack
Debiopharm —Lausanne, VD
- 100%
- Anglais
- Niveau Master
- SQL
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Senior Research Engineer / Research Scientist - Post-Training, Reinforcement Learning & Training Systems
Giotto.ai —Lausanne, VD
- 100%
- Travail hybride
- Niveau Doctorat
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Senior Site Reliability Engineer - Hybrid Cloud
Genius Sports Group —Lausanne, VD
- De 140 000 CHF à 155 000 CHF par an
- De garde
- Télétravail
- Gestion du personnel
- AWS
- Scripting
Characterization Engineer
Kandou AI —Saint-Sulpice, VD
- 100%
- Travail hybride
- Analyse de données
- Expérience en laboratoire
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il y a 9 jours
Analog SerDes Architect
Kandou AI —Saint-Sulpice, VD
- 100%
- Travail hybride
- C++
- Niveau Licence
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il y a 9 jours
P2621 - (Senior) Pharmacometrician
Debiopharm —Lausanne, VD
- Travail hybride
- Niveau Doctorat
- Anglais
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Head of Finance
Adaptyv —Lausanne, VD
- 100%
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- SQL
- Nettoyage
Senior Electrochemist
EH Group —Nyon, VD
- 100%
- Niveau Doctorat
- Analyse de données
- Anglais
Postuler rapidement

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GenAI & Machine Learning Engineer

Ethinc
Lausanne, VD

Postuler rapidement

Détails de l'emploi

Intérim
Il y a 3 jours

Qualifications

Français
Anglais
Niveau Master
Bases de données
SQL
Docker
Python

Description complète du poste

About Ethinc

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:

MLOps, model deployment, monitoring, or evaluation;
cloud platforms, Kubernetes, Docker, CI/CD, or infrastructure-as-code;
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%
Contract: Fixed-term employment contract
Contract duration: 4 months
Expected start: 1st of October 2026
Location: EPFL Innovation Park, Lausanne
Working arrangement: Hybrid

How to apply

Send your CV and a brief cover note.

Tell us what actually draws you to this role, what you have built or worked on before, and what you believe you could bring to Ethinc. We are more interested in how you think, learn, and communicate.

Be clear. Be specific. Be yourself.

If you have questions about the position, you can reach us via our contact form.

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.

Ability to commute/relocate:

1015 Lausanne, VD: Reliably commute or planning to relocate before starting work (Required)

Education:

Master's (Required)

Experience:

Python: 2 years (Required)
Machine Learning: 2 years (Required)

Language:

English (Required)
French (Required)

Location:

1015 Lausanne, VD (Preferred)

Work Location: Hybrid remote in 1015 Lausanne, VD

Postuler rapidement

Affinez votre recherche

python emplois - vaud

GenAI & Machine Learning Engineer

Responsable Applicatif

PhD - Measurement and modeling of urban verticality in Africa

Junior Systems Test Engineer (H/F/X)

Data Engineer

Internship - Communication System Modelling

Endpoint Engineer

Regulatory Reporting Specialist

Qualification Engineer

Site Reliability Engineer - Cloud Operations

Software Engineer, Backend

Senior Software Engineer, Data Science

P2625 - Data Platform Engineer - Full Stack

Senior Research Engineer / Research Scientist - Post-Training, Reinforcement Learning & Training Systems

Senior Site Reliability Engineer - Hybrid Cloud

Characterization Engineer

Analog SerDes Architect

P2621 - (Senior) Pharmacometrician

Head of Finance

Senior Electrochemist

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : python (vaud)

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