Tech Lead, Production-Grade Analytics & ML

TOTAL Deutschland GmbH; Genf; Vor Ort; CHF 150.000 - 230.000; Vollzeit

Zusammenfassung

TotalEnergies Trading & Shipping in Geneva is seeking a Tech Lead for Advanced Analytics. You will blend hands-on software engineering with architectural leadership to deliver production-grade analytics platforms used by traders and quantitative analysts.

You will drive cloud-native designs on AWS, implement CI/CD, mentor engineers, and partner with quantitative stakeholders to translate research into scalable solutions.

Qualifikationen

• Master's degree in CS or related field.
• Minimum 6 years of professional experience in software development, data science or related fields.
• Experience leading technical initiatives on complex software products.
• Production analytics or ML solutions in production environments is a plus.

Aufgaben

• Lead the design and implementation of software products for forecasting, optimization, simulation and advanced analytics.
• Drive software architecture decisions, ensuring scalability, security and maintainability across the analytics landscape.
• Collaborate with Quants, Traders and stakeholders to translate requirements into robust software solutions.
• Translate quantitative research into production-ready software with long-term maintainability.
• Promote engineering excellence through CI/CD, testing, documentation and best practices.
• Mentor engineers through technical guidance and architecture reviews.

Kenntnisse

Python

AWS

REST APIs

Kubernetes

CI/CD

Databricks

MLflow

React

Data viz

Ausbildung

Master's degree in Computer Science

Tools

Docker

Jobbeschreibung

TotalEnergies Trading & Shipping in Geneva is seeking a Tech Lead for Advanced Analytics. You will blend hands-on software engineering with architectural leadership to deliver production-grade analytics platforms used by traders and quantitative analysts.

You will drive cloud-native designs on AWS, implement CI/CD, mentor engineers, and partner with quantitative stakeholders to translate research into scalable solutions.