Remote AI/ML Data Scientist — Generative AI & Cloud

Landing; Lisboa; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Home office stipend (1200€)

Flex allowance 720€/year

Performance bonus

Health insurance

Wellbeing program

Life insurance

Pension fund

Smartphone & data plan

Discounts on VW Group cars

Job summary

Volkswagen Group Digital Solutions [Portugal] is seeking a data scientist to build and deploy AI/ML solutions in production. You’ll collaborate with cross-functional teams to translate business requirements into models and deliver scalable analytics capabilities.

You’ll work with Python, TensorFlow, PyTorch and cloud services to preprocess data, train models, and validate results while ensuring explainability and compliance with data privacy.

Qualifications

• Degree in computer science, software engineering, or comparable work experience.
• Proven experience in building and deploying AI models in production.
• Strong experience with Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).

Responsibilities

• Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions.
• Design, develop and deploy AI models and algorithms for classification, regression, clustering, and recommendations.
• Preprocess and analyze large datasets to extract meaningful features for model training.
• Experiment with ML techniques to improve performance and accuracy.
• Implement and optimize AI/ML models for scalability and real-time inference.
• Ensure models are explainable, auditable, and comply with data privacy and regulatory requirements.

Skills

Generative AI

Machine Learning

Python

TensorFlow

PyTorch

Scikit-learn

Cloud Computing

Education

Degree in Computer Science

Tools

AWS

Azure

GCP

Job description

Volkswagen Group Digital Solutions [Portugal] is seeking a data scientist to build and deploy AI/ML solutions in production. You’ll collaborate with cross-functional teams to translate business requirements into models and deliver scalable analytics capabilities.

You’ll work with Python, TensorFlow, PyTorch and cloud services to preprocess data, train models, and validate results while ensuring explainability and compliance with data privacy.