ML Engineer: Self-Driving Payroll AI (Hybrid, 4-Day Week)

Nmbrs BV; Lisboa; Híbrido; EUR 33 000 - 50 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

4-day workweek

Hybrid work

Training budget

Exchange program

Pet-friendly office

Resumo da oferta

Nmbrs in Lisbon is seeking a Machine Learning Engineer to join our payroll-focused team. You will develop data-driven models ranging from salary benchmarking to anomaly detection, leveraging our extensive payroll data to drive a self-driving payroll vision.

You will own end-to-end ML development within a dedicated AI-focused engineering group, deploying models via FastAPI, working in hybrid, and collaborating with Nmbrs Payroll.

Qualificações

• Degree in Computer science, Data science, Mathematics or any engineering related field.
• Experience building scalable Python APIs (e.g., FastAPI) to deploy ML models into production.
• Experience implementing MLOps, including CI/CD pipelines for ML models in Azure.
• Independent work style; will be the sole ML specialist on the team.
• Fluency in English.

Responsabilidades

• Build ML solutions for payroll data, from benchmarking to anomaly detection.
• Design and deploy supervised and unsupervised models (regression, classification, RF, GB, NN).
• Feature engineering with Pandas/NumPy on large payroll datasets.
• Develop SQL Server data interfaces to support modeling and analysis.
• Create and maintain Python APIs (FastAPI) for production use.
• Deploy ML models in cloud environments and monitor performance.
• Build automated ML pipelines with retraining workflows.
• Implement CI/CD and MLOps practices in Azure.

Conhecimentos

Python

ML modeling

CI/CD

MLOps

Formação académica

Degree in CS/DS/Math/Engineering

Ferramentas

FastAPI

Azure

Descrição da oferta de emprego

Nmbrs in Lisbon is seeking a Machine Learning Engineer to join our payroll-focused team. You will develop data-driven models ranging from salary benchmarking to anomaly detection, leveraging our extensive payroll data to drive a self-driving payroll vision.

You will own end-to-end ML development within a dedicated AI-focused engineering group, deploying models via FastAPI, working in hybrid, and collaborating with Nmbrs Payroll.