12 beste Stellen als ai developer in lausanne vd – aktuell auf Personalsuche

Internship : Testing Data Migrations with Synthetic Data: AI-powered approach
ELCA Informatique SA —Pully, VD
- 100%
- Datenbanken
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Logitech —Lausanne, VD
- 100%
- Homeoffice
- Doktorat
- Master
- AWS
- Homeoffice-Möglichkeit
Business Development Manager– Cloud / Workplace / Full IT Outsourcing| Romandie
ELCA Informatique SA —Pully, VD
- 100%
- Englisch
- AWS
- SharePoint
Application Engineer
Neural Concept —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Doktorat
- CAD
- Englisch
Solutions Engineer
Neural Concept —Lausanne, VD
- 100%
- Doktorat
- CAD
- Englisch
Automation Engineer
Kainjoo SA —Morges, VD
- 100%
- Homeoffice
- Informatik
- Englisch
- Master
Senior AI/ML Engineer
Logitech —Lausanne, VD
- 100%
- Homeoffice
- Forschungserfahrung
- C++
- Linux
- Homeoffice-Möglichkeit
1 Tag
ML Application Engineer (Japanese or Korean-speaking)
Neural Concept —Lausanne, VD
- 100%
- Doktorat
- CAD
- Englisch
Tech Lead Vertical Solutions
Neural Concept —Lausanne, VD
- 100%
- CAD
- Python
CISO / Head of IT Security - Fulltime Hybrid
RetinAI Medical —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- AWS
- Bachelor
Direkt bewerben
Product Manager - Platform Engineering
Frontiers Media —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Englisch
- Führungserfahrung
- Verhandlungsgeschick
Direkt bewerben
17 Std.
Senior Product Designer
Nexthink —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Bachelor
Direkt bewerben

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Internship : Testing Data Migrations with Synthetic Data: AI-powered approach

ELCA Informatique SA -
Pully, VD

Jetzt bewerben

Details zur Stelle

100% | Praktikum | Pensum: 90-100%

Qualifikationen

CI/CD
Relational databases
Git
Datenbanken
SQL
Python

Vollständige Stellenbeschreibung

Description

Data platform migrations are common in enterprise environments, moving from legacy systems to modern infrastructure while preserving business logic. The technical challenge isn't just syntax translation; it's validation. When developers migrate SQL scripts or data pipelines between platforms, they face different execution environments, modified data access permissions, and no safe way to test against production data.

This internship tackles synthetic data generation for migration script testing. You'll design and implement a system that generates realistic test datasets mirroring production structure and behavior without exposing sensitive information. There are different approaches, it could be a small dataset living in a git repository, or a fully-fledged synthetic data warehouse. Still, the data must be realistic enough to catch real bugs.

The challenge goes beyond simple data mocking. You'll need to decide whether to generate from real data (anonymization risks), from query analysis alone (requires good documentation), or hybrid approaches. Should categorical values match production exactly or can we substitute them and adapt the scripts? Can we extend unit-testing to end-to-end testing, and what would be the required dataset properties?

Part of the work involves establishing an evaluation methodology—potentially collecting a reference set of migration scripts and their expected behaviors to measure how well different synthetic data approaches catch real issues. There's potential to explore multi-agent architectures where specialized agents handle different aspects: schema analysis, constraint extraction, data generation, anonymization verification, and test validation. This is applied research with immediate production impact.

Objectives

Design a strategy for migration script testing that balances realism, anonymization, and practical constraints
Implement a proof-of-concept system that generates test datasets from schema documentation, existing queries, or (carefully) sampled production data
Define testing strategies: unit tests vs. end-to-end tests, minimum viable data sizes, etc.
Develop an evaluation methodology to measure the effectiveness of different synthetic data generation approaches

Our offer

A dynamic work and collaborative environment with a highly motivated multi-cultural and international sites team
The chance to make a difference in peoples’ life by building innovative solutions
Various internal coding events (Hackathon, Brownbags), see our technical blog

Skills required

Strong Python programming: data processing, testing patterns, CI/CD integration
Understanding of relational databases, SQL, and data modeling concepts
Experience with LLMs and agentic systems: prompting, tool use, multi-agent orchestration
Familiarity with data security and data anonymization concepts
Problem-solving mindset: comfort with ambiguous requirements and making justified technical trade-offs
Clear technical writing and documentation skills

Jetzt bewerben

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ai developer Jobs in lausanne vd

Internship : Testing Data Migrations with Synthetic Data: AI-powered approach

Senior Artificial Intelligence (AI)/Machine Learning (ML) Engineer, Video (R&D)

Business Development Manager– Cloud / Workplace / Full IT Outsourcing| Romandie

Application Engineer

Solutions Engineer

Automation Engineer

Senior AI/ML Engineer

ML Application Engineer (Japanese or Korean-speaking)

Tech Lead Vertical Solutions

CISO / Head of IT Security - Fulltime Hybrid

Product Manager - Platform Engineering

Senior Product Designer

Ich möchte aktuelle Job-E-Mails für Stellen als ai developer in lausanne vd erhalten

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