Job Overview
Los candidatos deben tomarse el tiempo de leer atentamente todos los elementos de este anuncio de empleo. Por favor, envíen su solicitud sin demora.

Data Science & MLOps Engineer to join the Advanced Analytics & AI team. Focus on designing, developing, and deploying scalable machine learning and Generative AI solutions within an Azure-based ecosystem.

Responsibilities

-

- Design, develop, and deploy machine learning and Generative AI models for advanced analytics use cases.

- Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.

- Collaborate closely with data scientists, data engineers, and analysts to deliver scalable AI solutions.

- Implement and manage MLOps best practices, ensuring model reproducibility, monitoring, and lifecycle management.

- Optimize models for performance and scalability in production environments.

- Work with tools such as MLflow, Azure Machine Learning, and Azure DevOps for pipeline orchestration and CI/CD.

- Drive innovation by expanding AI use cases using emerging technologies such as Generative AI.

- Communicate complex analytical concepts to non-technical stakeholders and guide decision-making.

- Participate in Agile/Scrum teams,



contributing to continuous delivery and iterative product development.

- Stay updated on industry trends in AI, MLOps, cloud computing, and data platforms.

Qualifications

-

- 6–8 years of experience in Machine Learning Engineering or Applied ML with strong exposure to MLOps.

- Advanced proficiency in Python (OOP) and PySpark.

- Hands‑on experience with Scikit‑learn, TensorFlow, or PyTorch.

- Strong experience with Azure Cloud and Databricks.

- Expertise in building ML pipelines using MLflow, Azure ML, and CI/CD tools (Azure DevOps).

- Strong knowledge of data preprocessing, feature engineering, model optimization, and evaluation techniques (cross‑validation, A/B testing).

- Experience with Git and collaborative development practices.

- Graduate level education.

- English (C1) required.

Nice to Have

-

- Knowledge of Generative AI frameworks (e.G., LangChain).

- Familiarity with vector databases.

- Experience with model monitoring and logging in production.

- Understanding of data governance and compliance.

- Relevant Databricks or Azure certifications.

Location & Compensation

Madrid (on site). xhfqzwm 285–304 €/day.

#J-18808-Ljbffr

📌 Data Science Cum Mlops, Madrid (On-Site) – International Client
🏢 TheWhiteam
📍 Madrid