20 beste Stellen als python in canton de vaud – aktuell auf Personalsuche

Internship : Testing Data Migrations with Synthetic Data: AI-powered approach
ELCA Informatique SA —Pully, VD
- 100%
- Datenbanken
- SQL
- Praktikum
Stagiaire Universitaire 12 mois, IT - Data Intelligence
Banque Cantonale Vaudoise —Lausanne, VD
- Master
- SQL
- Bachelor
2 Tage
EV Powertrain Solution Owner
Neural Concept —Lausanne, VD
- 100%
- Python
PhD Position in Interpretable AI for Coupled Multiphysics of Geomaterials
emploi.epfl.ch —Lausanne, VD
- Doktorat
- Englisch
- Master
10 Tage
Vision Systems Engineer Intern
Flyability —Paudex, VD
- CHF 2’000 - CHF 2’500 pro Jahr
- 100%
- Englisch
- Master
- C++
Direkt bewerben
10 Tage
Data Scientist
Ansam Group —Le Vaud, VD
- Hybrides Arbeiten
- Englisch
- Datenbanken
- SQL
- Weiterbildungen
- Homeoffice-Möglichkeit
Banking Application Specialist
Swissquote Bank —Gland, VD
- 100%
- Bachelor
- JavaScript
- Softwareentwicklung
Direkt bewerben
Senior AI/ML Engineer
Logitech —Lausanne, VD
- 100%
- Forschungserfahrung
- C++
- Linux
- Homeoffice-Möglichkeit
11 Tage
Fullstack Software Engineer
Cisco Systems —Ecublens, VD
- 100%
- Datenbanken
- AWS
- Erfahrung mit Netzwerken
1 Tag
Software Engineer
Algorized —Etoy, VD
- 100%
- Master
- Analysefähigkeit
- C++
Ingénieur sécurité & réseau (intégration)
immunIT —Nyon, VD
- Teilzeit
- Homeoffice
- Informatik
- Schreibfähigkeiten
- Englisch
- Homeoffice-Möglichkeit
Wissenschaftliche/-r Mitarbeiter/-in
MeteoSchweiz —Payerne, VD
- Teilzeit
- Doktorat
- Englisch
- Master
- Homeoffice-Möglichkeit
4 Tage
Solutions Engineer
Neural Concept —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Doktorat
- CAD
- Englisch
Forward Deployed AI Engineer
Swissquote Bank —Gland, VD
- 100%
- Java
- Master
- JavaScript
Direkt bewerben
5 Tage
ML Application Engineer (Japanese or Korean-speaking)
Neural Concept —Lausanne, VD
- 100%
- Doktorat
- CAD
- Englisch
AI Infrastructure Engineer
Swissquote Bank —Gland, VD
- 100%
- Management-Erfahrung
- Java
- Master
Direkt bewerben
5 Tage
Senior AI Machine Learning Engineer
Nexthink —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Master
Direkt bewerben
10 Tage
Collaboratore/trice scientifico/a
Amministrazione federale - Dipartimento federale dell'interno DFI —Payerne, VD
- Doktorat
- Englisch
- Master
4 Tage
Computer Vision Engineer (VIO)
Harmattan AI —Lausanne, VD
- 100%
- Doktorat
- Master
- C++
Stage en analyse de données environnementales
emploi.epfl.ch —Lausanne, VD
- Microsoft Excel
- Master
- Python
1 Tag

Ich möchte aktuelle Job-E-Mails für Stellen als python in canton de vaud erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

python jobs near canton de vaud

Jobs als Machine Learning Engineer in Lausanne, VD

Jobs als Interpreter in Lausanne, VD

Jobs als Application Developer in Lausanne, VD

Jobs als Senior Ai Ml Engineer in Lausanne, VD

Jobs als Full Stack Developer in Zürich, Zh

Jobs als Full Stack Developer in Canton Of Geneva

Jobs als Front End Developer in Genève 1, Ge

Jobs als Full Time Remote in Canton De Zurich

Jobs als Python Developer in Bern, Be

Jobs als Full Stack Developer in Canton De Zurich

Jobs als De Nuit in Orbe, Vd

Jobs als La Poste Suisse in Ginevra, Ge

Jobs als Commune De in Collonge Bellerive, Ge

Jobs als Auxiliaire De Santé in Villeneuve, Vd

Jobs als Data Protection in Geneva, Ge

Jobs als Data Scientist in Lugano, Ti

Jobs als Data Analyst in Canton Of Geneva

Jobs als Data Scientist in Zug, Zg

Jobs als Data Scientist in Winterthur, Zh

Jobs als Data Science in Chur, Gr

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

Erweiterte Suche

python Jobs in canton de vaud

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

Stagiaire Universitaire 12 mois, IT - Data Intelligence

EV Powertrain Solution Owner

PhD Position in Interpretable AI for Coupled Multiphysics of Geomaterials

Vision Systems Engineer Intern

Data Scientist

Banking Application Specialist

Senior AI/ML Engineer

Fullstack Software Engineer

Software Engineer

Ingénieur sécurité & réseau (intégration)

Wissenschaftliche/-r Mitarbeiter/-in

Solutions Engineer

Forward Deployed AI Engineer

ML Application Engineer (Japanese or Korean-speaking)

AI Infrastructure Engineer

Senior AI Machine Learning Engineer

Collaboratore/trice scientifico/a

Computer Vision Engineer (VIO)

Stage en analyse de données environnementales

Ich möchte aktuelle Job-E-Mails für Stellen als python in canton de vaud erhalten

Related Searches

Weitere Job-Standorte erkunden

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt