Senior Data Scientist — Remote AI/ML in Production

Amaris Consulting; Cataluña; Híbrido; EUR 60.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work options

Transport tickets

Restaurant tickets

Childcare support

Private health insurance

WeCare programme

Descripción de la vacante

Amaris Consulting seeks a Senior Data Scientist to join an international team driving AI/ML projects. You will develop and deploy end-to-end AI/ML solutions across production environments, leveraging Python, streaming and data tools.

Fluency in Spanish is required for collaboration and customer engagement. Ideal candidates have 5+ years of experience, cloud and data pipeline chops, and a track record of solving business problems with data-driven approaches.

Formación

• 5+ years of experience as a Data Scientist, ML Engineer, or similar role.
• Strong proficiency with Python for ML/AI development.
• Experience with Deep Learning frameworks TensorFlow and/or PyTorch.

Responsabilidades

• Develop, prototype, and deploy AI/ML solutions addressing complex business challenges.
• Create rapid Proofs of Concept using Python, Streamlit, and ML frameworks.
• Design, optimize, and maintain data pipelines, models, and analytics solutions for scalability and performance.
• Collaborate with Data Scientists, ML Engineers, Product teams, and stakeholders to deliver data-driven solutions.
• Develop forecasting models, optimization algorithms, recommendation systems, CV, NLP, and Generative AI initiatives.
• Implement ML/Deep Learning models in production using cloud and Big Data tech.

Conocimientos

Problem solving

Spanish

Herramientas

Python

TensorFlow

PyTorch

AWS S3 Lambda

Databricks

MongoDB

Apache Airflow

Jenkins

Big Data technologies

Descripción del empleo

Amaris Consulting seeks a Senior Data Scientist to join an international team driving AI/ML projects. You will develop and deploy end-to-end AI/ML solutions across production environments, leveraging Python, streaming and data tools.

Fluency in Spanish is required for collaboration and customer engagement. Ideal candidates have 5+ years of experience, cloud and data pipeline chops, and a track record of solving business problems with data-driven approaches.