Senior Remote AI/ML Engineer | AWS & Python

Tamarind Intelligence Group; Madrid; A distancia; EUR 68.000 - 83.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Flexible hours

Home office budget

Remote-first culture

Descripción de la vacante

Tamarind Intelligence Group seeks a Senior Machine Learning Engineer (Remote) to lead ambitious AI projects across distributed teams worldwide. You will design, develop, and deploy ML models at scale, driving innovation in AI and emerging technologies.

Remote-friendly environment with flexible hours, strong emphasis on MLOps, cloud-based pipelines, and responsible AI practices. 5+ years in production ML, advanced degree preferred; high autonomy required.

Formación

• Master's or PhD in Computer Science, AI, ML, Statistics or related field.
• 5+ years of hands-on ML development and production deployment.
• Strong Python and ML library expertise (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS/Azure/GCP) and big data tools.

Responsabilidades

• Design, develop, train, and deploy advanced ML models and algorithms.
• Collaborate with cross-functional teams to define AI/ML project requirements.
• Perform data preprocessing, feature engineering, and model evaluation.
• Optimize model performance for scalability, efficiency, and accuracy.
• Mentor junior engineers and contribute to MLOps pipelines.
• Communicate complex concepts to technical and non-technical stakeholders.
• Ensure responsible and ethical AI practices across projects.

Conocimientos

Python

Problem solving

Communication

Independent work

Educación

Master's degree

PhD

Herramientas

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

Descripción del empleo

Tamarind Intelligence Group seeks a Senior Machine Learning Engineer (Remote) to lead ambitious AI projects across distributed teams worldwide. You will design, develop, and deploy ML models at scale, driving innovation in AI and emerging technologies.

Remote-friendly environment with flexible hours, strong emphasis on MLOps, cloud-based pipelines, and responsible AI practices. 5+ years in production ML, advanced degree preferred; high autonomy required.