Data Engineer for ML Pipelines & Production

Insud Pharma; Madrid; In loco; EUR 65.000 - 90.000; Tempo pieno

Descrizione del lavoro

Insud Pharma's AI Labs seeks a highly skilled Data Engineer / Machine Learning Engineer to join the Applied AI Team. The ideal candidate combines strong software engineering with hands-on data pipelines and ML systems, and works at the intersection of data, models, and production.

You will design, build, deploy, and operate end-to-end data and ML solutions across business units, ensuring reliable production moves, scalable pipelines, and robust ML infrastructure.

Competenze

• Proficient in Spanish and English, written and verbal communication.
• Strong proficiency in Python, including clean code practices, packaging, and modular design.
• Solid understanding of software engineering principles (OOP, SOLID, testing, version control).
• Hands-on experience building data pipelines (ETL / ELT) using Python-based frameworks or custom solutions.
• Experience working with machine learning workflows, including model training, evaluation, and deployment.
• Familiarity with REST APIs and service-based architectures (FastAPI, Flask, or similar).
• Strong experience with Git and collaborative development workflows.
• Experience with containerization (Docker) and cloud environments (AWS or Azure).
• Experience with MLOps practices (model versioning, monitoring, drift detection, retraining strategies).
• Familiarity with orchestration tools (Airflow, Prefect, Dagster).
• Experience with data storage systems (SQL / NoSQL databases, data lakes, object storage).
• Experienced deploying or operating ML systems in regulated or high-reliability environments.
• Familiarity with ML frameworks and scientific libraries (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).
• Interest in applied AI topics such as NLP, LLM-based systems, or scientific computing.

Mansioni

• Design, build, and maintain scalable data pipelines for data ingestion, transformation, and serving, supporting analytics and ML use cases.
• Develop and productionize machine learning pipelines, covering training, validation, deployment, and monitoring.
• Collaborate closely with Data Scientists to translate notebooks and prototypes into robust, production-ready ML systems.
• Build and maintain feature pipelines and data abstractions that enable reproducible and reliable model behavior.
• Ensure data quality, versioning, and traceability across datasets and models.
• Optimize pipelines and ML workloads for performance, scalability, and cost efficiency.
• Work with DevOps and Platform teams to deploy solutions using containerization and CI/CD best practices.
• Contribute to defining data engineering and MLOps standards across AI Labs; participate in code reviews, documentation, and mentoring to foster excellence.

Conoscenze

Spanish proficiency

English proficiency

Python programming

Software engineering principles

ETL/ELT pipelines

ML workflows

REST APIs

Git teamwork

CI/CD practices

DevOps practices

Strumenti

Docker

AWS/Azure

Airflow/Prefect/Dagster

FastAPI/Flask

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

Descrizione del lavoro

Insud Pharma's AI Labs seeks a highly skilled Data Engineer / Machine Learning Engineer to join the Applied AI Team. The ideal candidate combines strong software engineering with hands-on data pipelines and ML systems, and works at the intersection of data, models, and production.

You will design, build, deploy, and operate end-to-end data and ML solutions across business units, ensuring reliable production moves, scalable pipelines, and robust ML infrastructure.