Senior Data Architect

beBeeDataEngineer; Torrejón de Ardoz; A distancia; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

Join beBeeDataEngineer as a Data Engineer with MLOps expertise, where you will design and develop scalable data pipelines and automate machine learning workflows. This role offers a chance to impact the tech ecosystem and work in a diverse, international environment, promoting equal opportunity employment.

Servicios

Diverse International Environment

Remote Work from Spain

Extra Day Off

Career Growth Opportunities

Formación

• Seasoned Data Engineer with MLOps expertise.
• Strong analytical skills for complex problem-solving.

Responsabilidades

• Design and develop efficient data pipelines.
• Automate machine learning workflows for model deployment.
• Implement data workflows for product integration.
• Ensure model performance and compliance in production.

Conocimientos

Problem-Solving

MLOps expertise

Herramientas

MLflow

TensorFlow

PyTorch

Scikit-learn

Descripción del empleo

Transform the world of workforce mobility with a new career path.

About the Role

We are seeking a seasoned Data Engineer with MLOps expertise to spearhead our data intelligence journey. As a key member of our team, you will play a pivotal role in designing and developing scalable data pipelines, automating machine learning workflows, and ensuring seamless model deployment across products.

This is an exceptional opportunity for a motivated professional to make a lasting impact in the delivery tech ecosystem. If you are passionate about driving innovation, thrive in fast-paced environments, and possess strong analytical skills, we encourage you to apply.

Responsibilities

• Design and Develop Data Pipelines : Build efficient data pipelines that integrate information across internal products, ensuring consistency, scalability, and availability for analytics and product features.
• Automate Machine Learning Workflows : Develop automated pipelines to train, validate, and deploy machine learning models that enhance product capabilities.
• Workflow Orchestration and Product Integration : Implement data and model workflows that enable seamless communication between products, supporting interoperability and shared access to core services and intelligence.
• Model Deployment and Monitoring : Deploy machine learning models into production environments across products, continuously monitor their performance, and ensure they remain stable, accurate, and aligned with business goals.
• Data and Model Governance : Ensure end-to-end traceability, security, and quality of data and models in production by applying best practices in versioning, access control, and regulatory compliance.

Requirements

• MLOps Tools : MLflow, TensorFlow, PyTorch, Scikit-learn
• Problem-Solving : Strong analytical skills to tackle complex technical challenges

What We Offer

• Diverse International Environment : Join a team of 15+ nationalities
• Remote Work from Spain
• Extra Day Off : Celebrate your birthday with a paid day off
• Career Growth Opportunities : A real chance to grow and make an impact within our organization

We believe in equal opportunity employment and strive to create a workplace where everyone feels valued and empowered to succeed.