AI & Advanced Analytics Expert

NASSAT; United States; A distancia; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

NASSAT (Network & Satellite Systems of Spain) is seeking an AI & Advanced Analytics Expert to bolster its engineering team. The role focuses on developing analytics models and systems for satellite connectivity, remote sensing, and high-altitude platforms.

Responsibilities include building and deploying AI/ML models, performing predictive/prescriptive analytics across multi-domain data, and designing multi-domain correlation systems. This remote, full-time position is open until filled.

Formación

• Bachelor's or Master's degree in Engineering, Mathematics, Physics, Statistics, Data Science or equivalent.
• Proven experience of at least 3 years in AI models, machine learning, predictive/prescriptive analytics or multi-domain correlation systems.

Responsabilidades

• Development and deployment of artificial intelligence and machine learning models.
• Predictive and prescriptive analytics on multi-domain data.
• Design of multi-domain correlation systems.

Conocimientos

AI models

Machine learning

Analytics

Educación

Bachelor's or Master's degree in Engineering, Mathematics, Physics, Statistics, Data Science or equivalent

Descripción del empleo

NASSAT (Network & Satellite Systems of Spain) is adding an AI & Advanced Analytics Expert to its engineering team, to develop analytics models and systems applied to satellite connectivity, remote sensing and high-altitude platforms (HAPS).

Responsibilities

• Development and deployment of artificial intelligence and machine learning models.
• Predictive and prescriptive analytics on multi-domain data.
• Design of multi-domain correlation systems.

Requirements

• Qualification: Bachelor's or Master's degree in Engineering, Mathematics, Physics, Statistics, Data Science or equivalent.
• Proven experience of at least 3 years in AI models, machine learning, predictive/prescriptive analytics or multi-domain correlation systems.

Conditions

• Work mode: remote.
• Schedule: full-time.
• Compensation: based on experience.
• Open until filled; more than one professional may be required.