Senior Python Engineer, Scientific Data & Cloud Infrastructure

Dandelion Science; Genf; Vor Ort; EUR 100’000 - 130’000; Vollzeit

Zusammenfassung

Dandelion Science is seeking a Senior Python Engineer to join their team in Geneva. The role involves writing production-grade Python, collaborating with AI and research teams, and deploying AWS infrastructure for real-time data processing. Candidates should have hands-on experience with Python and ML libraries, along with AWS and Terraform skills.

Leistungen

High Impact: Drive real-time AI therapies

Collaborative Team: Partner with researchers

Hybrid environment with Geneva HQ

Qualifikationen

• 4+ years production Python experience.
• Hands-on with scientific and ML libraries.
• AWS experience and Terraform practitioner.

Aufgaben

• Develop modular Python libraries for scientific workloads.
• Collaborate with data scientists to productionize algorithms.
• Design, deploy, and maintain AWS infrastructure.

Kenntnisse

Python

ML libraries (NumPy, pandas, SciPy)

AWS

Terraform

Jobbeschreibung

Senior Python Engineer, Scientific Data & Cloud Infrastructure

Senior Python Engineer, Scientific Data & Cloud Infrastructure

Dandelion Science is a Swiss-US Generative Neuromodulation company, advancing precision therapies for vision and brain disorders. Backed by NIH and Swiss Innovation Agency grants, and in partnership with the Wyss Center, our platform fuses generative AI with neuroscience to deliver real-time, patient-facing ML-driven therapeutics.

Position Overview

We’re looking for a hands-on engineer who writes production-grade Python every day, builds portable, modular code for scientific/ML workloads, and knows how to deploy and operate it at scale on AWS with Terraform. You’ll partner closely with our AI and research teams to turn notebooks into rock-solid services supporting real-time data processing in our neuromodulation platform.

Key Responsibilities

1. Core Python Development

• Author clean, well-tested, modular Python libraries and services (pytest, sphinx, packaging)
• Collaborate with data scientists to productionize numerical algorithms (NumPy, pandas, SciPy) and ML models (scikit-learn, PyTorch/TensorFlow)
• Design, deploy, and maintain AWS infrastructure (EC2, Lambda, S3, EKS, RDS)
• Define all resources via Terraform (and Terragrunt) modules, enforce least-privilege IAM
• Automate CI/CD for code and model pipelines using GitHub Actions/GitLab CI

3. MLOps & Real-Time Platform Support

• Build model training, validation, and rollback workflows (model registry, feature store)
• Instrument monitoring and logging (Prometheus/Grafana, ELK) to detect drift or performance degradation
• Ensure low-latency, highly available operation for scientist and patient-facing services

4. Cross-Functional Collaboration

• Work with neuroscience researchers and engineers in our US and Swiss teams
• Document architecture, runbooks, and best practices to facilitate knowledge sharing

Qualifications

REQUIRED

• 4+ years production Python (pytest, packaging, modular design)
• Hands-on with scientific/ML libraries (NumPy, pandas, SciPy; scikit-learn, PyTorch/TensorFlow)
• AWS experience (compute, storage, networking) and IaC (e.g., Terraform) practitioner

Nice-to-Have

• Real-time data streaming (Lab Streaming Layer)
• Feature-store tools (e.g., Feast) or server frameworks (TorchServe, TF-Serving)

Why You’ll Love It Here

• High Impact: Drive real-time AI therapies at the cutting edge of neuroscience
• Collaborative Team: Partner with world-class researchers and engineers
• Swiss-US Culture: Hybrid environment with Geneva HQ and U.S. research labs

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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