ML Engineer: Hybrid Digital Twin & Predictive Modelling

Newton Colmore; Donostia/San Sebastián; Híbrido; EUR 60.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity participation

Competitive salary package

Descripción de la vacante

Newton Colmore is seeking a Machine Learning Engineer to own advanced modelling, ML, and predictive analytics within a scale-up deep-tech platform. You will join a highly talented team of scientists and engineers tackling challenging technical problems and applying new computational methods to real-world processes.

You will shape technology strategy and future product direction while leading end-to-end modelling lifecycles across complex data sets and experiments.

Formación

• Strong quantitative background with experience applying ML to real-world problems.
• Experience developing computational or ML models.
• Excellent Python programming with scientific computing libraries.

Responsabilidades

• Develop advanced ML models for complex real-world systems.
• Build predictive models and digital representations of physical processes.
• Combine first-principles approaches with modern AI and ML techniques.
• Design and analyse experimental programmes to improve model performance.
• Work with large-scale sensor and operational datasets to develop forecasting and monitoring capabilities.

Conocimientos

Python

Machine Learning

Statistical modelling

Data analysis

Educación

MSc/PhD in quantitative field

Herramientas

NumPy/SciPy

Pandas

Descripción del empleo

Newton Colmore is seeking a Machine Learning Engineer to own advanced modelling, ML, and predictive analytics within a scale-up deep-tech platform. You will join a highly talented team of scientists and engineers tackling challenging technical problems and applying new computational methods to real-world processes.

You will shape technology strategy and future product direction while leading end-to-end modelling lifecycles across complex data sets and experiments.