AI/ML Data Scientist - Build & Deploy Scalable Models

Volkswagen Group Digital Solutions [Portugal]; Porto; On-site; EUR 45,000 - 75,000; Full time

Job summary

Volkswagen Group Digital Solutions [Portugal] seeks a Data Scientist to translate business needs into AI/ML solutions. You will design, develop and deploy models for classification, regression, clustering and recommendations in production environments.

You will preprocess large datasets, experiment with ML techniques, ensure scalability and compliance with privacy and regulations, and collaborate with engineers, product owners and stakeholders.

Qualifications

• Degree in computer science, software engineering, or comparable work experience.
• Proven experience as Data Scientist or related role.
• Hands-on experience building and deploying AI models in production.
• Proficient in Python for ML/AI development.
• Strong ML algorithms knowledge; frameworks like TensorFlow, PyTorch, scikit-learn.

Responsibilities

• Collaborate with cross-functional teams to translate requirements into AI/ML solutions.
• Design, develop and deploy AI models for classification, regression, clustering, and recommendations.
• Preprocess and analyze large datasets for feature extraction and model training.
• Experiment with ML techniques to improve model performance and accuracy.
• Ensure models are scalable, explainable, and compliant with data privacy/regulatory requirements.

Skills

Cross-functional collaboration

Python

TensorFlow

PyTorch

scikit-learn

Cloud platforms

English communication

Product-thinking

Education

Degree in computer science or related field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Volkswagen Group Digital Solutions [Portugal] seeks a Data Scientist to translate business needs into AI/ML solutions. You will design, develop and deploy models for classification, regression, clustering and recommendations in production environments.

You will preprocess large datasets, experiment with ML techniques, ensure scalability and compliance with privacy and regulations, and collaborate with engineers, product owners and stakeholders.