ML Data Engineer for Production ML Pipelines

Insud Pharma; España; On-site; PHP 3,991,000 - 6,531,000; Full time

Benefits offered by this job

Flexible start time

Permanent contract

Life & accident insurance

Meal vouchers

Language learning platform

Wellness platform with psychologist

Cabify transportation service

Development plans

Many more!

Job summary

Insud Pharma's AI Labs team in Madrid is seeking a Data Engineer / Machine Learning Engineer to design, build, and operate end-to-end data pipelines and ML systems. You will collaborate with data scientists, software engineers, and product owners to move models from experimentation to production.

The role emphasizes scalable pipelines, MLOps, and robust engineering standards, with opportunities to explore NLP and scientific computing while maintaining code quality, versioning, and monitoring in

Qualifications

• 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 (e.g., Airflow, Prefect, Dagster).
• Experience with data storage systems (SQL / NoSQL databases, data lakes, object storage).
• Exposure to streaming or event-driven architectures.
• Experience 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.

Responsibilities

• Design, build, and maintain scalable data pipelines for data ingestion, transformation, and serving, supporting both analytics and machine learning 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.
• Implement model deployment patterns (batch, real-time, or hybrid) using APIs, scheduled jobs, or event-driven architectures.
• Build and maintain feature pipelines and data abstractions that enable reproducible and reliable model behaviour.
• 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 a culture of engineering excellence.

Skills

Python

REST APIs

Docker

MLOps

Airflow

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

Git

Tools

FastAPI/Flask

Docker

Airflow

Dagster

Prefect

Job description

Insud Pharma's AI Labs team in Madrid is seeking a Data Engineer / Machine Learning Engineer to design, build, and operate end-to-end data pipelines and ML systems. You will collaborate with data scientists, software engineers, and product owners to move models from experimentation to production.

The role emphasizes scalable pipelines, MLOps, and robust engineering standards, with opportunities to explore NLP and scientific computing while maintaining code quality, versioning, and monitoring in