Remote ML Engineer - Spend & Pricing Forecasts

Savify AG; Sankt Gallen; Hybrid; CHF 110,000 - 170,000; Full time

Benefits offered by this job

Flexible hours

Bonus

Offsites

Job summary

Savify AG is seeking a skilled ML Engineer to develop models predicting savings opportunities from spend data. You will classify accounts-payable data, benchmark prices, and forecast savings to prioritise supplier engagements. The role emphasizes feature engineering, model training, monitoring, and actionable guidance for negotiators.

Flexible hours with remote-first work in Europe, full-time, permanent. Start by agreement, no later than Q1 2027. Travel <10%.

Qualifications

• 3+ years of production ML for classification and regression.
• Proficiency with Python, scikit-learn/XGBoost, SQL and MLOps fundamentals.
• Experience with unstructured, imperfect business data.
• Fluent German or English.

Responsibilities

• Classify accounts-payable and invoice data into procurement categories.
• Build price and commercial-terms benchmarks from available negotiation data.
• Develop savings forecasts to prioritise engagements and categories.
• Engineer features, train models and monitor and retrain them.
• Turn results into practical recommendations for negotiators and sales.

Skills

Production ML

Classification

Regression

Python

scikit-learn

XGBoost

SQL

MLOps fundamentals

German or English fluency

Tools

Python

SQL

Job description

Savify AG is seeking a skilled ML Engineer to develop models predicting savings opportunities from spend data. You will classify accounts-payable data, benchmark prices, and forecast savings to prioritise supplier engagements. The role emphasizes feature engineering, model training, monitoring, and actionable guidance for negotiators.

Flexible hours with remote-first work in Europe, full-time, permanent. Start by agreement, no later than Q1 2027. Travel <10%.