Backend Engineer (Python) with ML

ERNI

Madrid

Híbrido

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Private health and travel insurance

Monthly team lunches

Gym discounts

Free language courses

Remote work compensation

Descripción de la vacante

A leading technology company in Madrid invites applications for a backend development role in a data-driven project for the pharmaceutical industry. Candidates should have strong Python skills, experience with machine learning, and familiarity with data manipulation from SQL and Snowflake. This position offers a hybrid work model with benefits such as private health insurance and gym discounts.

Formación

Strong experience in backend development using Python.
Proficient in machine learning concepts and practical experience.
Familiarity with data extraction and manipulation from databases.

Responsabilidades

Develop and maintain the backend of the applications.
Collaborate with data engineers to ensure data reliability and security.
Implement APIs for data retrieval and interaction with frontend applications.

Conocimientos

Backend development using Python

Machine learning concepts

Data extraction from databases

Building user interfaces with Streamlit

Understanding DevOps practices

Problem-solving skills

Herramientas

FastAPI

Flask

Snowflake

SQL

Docker

CI/CD

AWS

Azure

Descripción del empleo

5 days ago Be among the first 25 applicants

Can you imagine your expertise driving transformative solutions in the pharmaceutical industry? 💻🌐

This could be the opportunity you’ve been waiting for!

At ERNI, we invite you to join a transformative project in the realm of data‑driven decision‑making for the Pharma sector. Collaborate with professionals in a dynamic environment that values agility, autonomy, and real impact.

What Makes This Project Unique?

This project combines technological challenges, social relevance, and engineering depth. You’ll play a crucial role in developing a robust backend system that integrates machine learning algorithms to enhance operational efficiency in clinical trials and medication production. Your work will directly contribute to transforming operational data into actionable insights that support critical business decisions.

How We Support Your Growth

Certifications: We cover the costs, and you can earn rewards for technical achievements.
Knowledge Sharing: Participate in communities, training sessions, and expert meetups.
Real Experience: Gain experience in regulated environments and cross‑functional collaboration.

What You’ll Bring

Strong experience in backend development using Python, particularly with frameworks like FastAPI or Flask.
Proficiency in machine learning concepts and practical experience.
Familiarity with data extraction and manipulation from databases like Snowflake and SQL.
Experience in building user interfaces with Streamlit to create interactive data visualizations and dashboards.
Understanding of DevOps practices, including Docker, CI/CD, and cloud platforms (AWS/Azure).
Excellent problem‑solving skills and the ability to work collaboratively in a team environment.

What You’ll Do

Develop and maintain the backend of the applications, ensuring seamless integration with machine learning models.
Collaborate with data engineers and business intelligence teams to ensure data reliability and security.
Implement APIs for data retrieval and interaction with frontend applications built on Streamlit.
Monitor and optimize the performance of machine learning algorithms in production.

Our Working Model

Hybrid with hands‑on collaboration. Enjoy: