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

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Senior Software Engineer - Edge Computing
Genius Sports Group —Lausanne, VD
Take ownership of long-term technical efforts and articulate design choices to technical and non-technical people. 5+ years experience in SRE with Linux.
De 140 000 CHF à 155 000 CHF par an
1 h

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Junior Data & AI Engineer

Alpian SA
Lausanne, VD

Soumettre votre candidature

Détails de l'emploi

Il y a 2 jours

Qualifications

Informatique
Git
Google Cloud Platform
Niveau Master
SQL
Technologies de l'information
Python

Description complète du poste

Lausanne (Prilly)

Geneva (Le Petit Saconnex)



Engineering

Das Ziel der Position:

ABOUT ALPIAN
We're building the next generation of private banking, digital, personalized, and actually meaningful.
Alpian is the first Swiss digital bank, combining wealth management and everyday banking in a single mobile app. Our mission? Make investing and banking simple, intuitive, and accessible, without ever compromising on security, trust, or excellence.
We're a small team of bold thinkers and pragmatic engineers who like solving hard problems for real users, in production. No ivory towers, no endless demos that go nowhere.

WHY THIS ROLE IS DIFFERENT
Most junior jobs hand you a ticket queue and a "good luck." Not here.
You'll learn to build AI systems that thousands of real customers actually use, not toy chatbots, but agents and data pipelines running in a regulated Swiss bank. You'll sit at the intersection of LLMs, analytics, and cloud infrastructure, mentored by people who've taken AI from proof-of-concept to production (and lived to tell the war stories).
If you graduated recently and you're the kind of person who breaks things to understand them, debugs your own code before asking for the answer, and gets a little too excited about a clean data model, you'll feel right at home.

THE AI PART
Here's the deal: you're joining at the exact moment AI stops being hype and starts being infrastructure.
You'll help us build agents that reason over financial data, RAG pipelines that actually ground their answers, and LLM systems that have to be correct, explainable, and auditable, because "the model said so" doesn't fly when a regulator asks.
You won't just use AI. You'll learn to make it trustworthy. That's the rare skill, and it's the one that will define your career.

Jobübersicht:

WHAT YOU'LL BE DOING
You'll grow into this — we don't expect all of it on day one:
Write clean, tested Python that ends up in production (not in a drawer)
Help build agentic workflows: tool calling, retries, handling the inevitable failures
Work on RAG pipelines — chunking, embeddings, retrieval that actually retrieves the right thing
Query and model data in BigQuery, and learn why analytical correctness matters
Add the unglamorous-but-critical stuff: tracing, evaluations, cost and latency monitoring
Learn to handle customer data the right way — PII, access control, auditability
Document what you build and explain your trade-offs clearly (bonus points for zero buzzwords)

Erfahrung / Fähigkeiten erforderlich:

WHAT WE'RE LOOKING FOR
We're hiring for potential and attitude, not a decade of experience.
A recent degree in Computer Science, Data, Engineering, or a related field (or a self-taught path that proves you can build)
Solid Python foundations, you've written real programs, not just notebook snippets
Genuine curiosity about AI, LLMs, and data, some hands-on tinkering (projects, internships, hackathons, side projects) counts a lot
Comfort with SQL, or eagerness to get there fast
The instinct to debug your own code and figure things out before reaching for help
Clear communication and the humility to ask good questions
You care about why something works, not just that it works

NICE TO HAVE (TRULY OPTIONAL)
A personal project involving an LLM, an API, or a dataset you found interesting
Any exposure to Google Cloud, containers, or Git workflows
A hackathon, open-source contribution, or that one weekend project you can't stop talking about
Curiosity about regulated environments and why "move fast and break things" doesn't always apply to banks

OUR STACK
Google ADK · Vertex AI · BigQuery · Grafana · Python (async, APIs, testing) · vector databases & embedding models · GCP · CI/CD, containers, IAM, secrets management
Don't know all of these? Neither did we, once. You'll learn them here.

WHAT YOU'LL GET
Real ownership of real systems, early
Mentorship from senior engineers who actually want to teach
A front-row seat to production AI in a domain where the stakes are real
A small, ambitious team where your work is visible and your ideas count

Ready to build the future of banking? We'd love to see what you've made, projects, repos, and enthusiasm welcome alongside your CV.

Soumettre votre candidature

Affinez votre recherche

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