Senior Python Developer (With Ml)

buscojobs España; Madrid; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A leading software development company is seeking a Senior Python Developer (with ML) to join their innovative team in Madrid. In this role, you'll be responsible for building scalable backend solutions, optimizing APIs, and engaging with cross-functional teams to implement advanced data processing pipelines. Successful candidates will have strong Python skills, a solid understanding of software architecture, and experience with machine learning. This position offers a dynamic work environment with additional benefits like training opportunities and flexible absence days.

Servicios

35 absence days per year

Udemy courses of your choice

English courses with native speakers

Team-building activities (online/offline)

Excellence Centers meetups

Formación

• 5+ years in backend development, focusing on Python.
• Experience with ML platforms like Airflow and SageMaker is a plus.
• Strong skills in CI/CD and Git required.

Responsabilidades

• Develop, maintain, and optimize backend services using Python.
• Design data processing pipelines for large data volumes.
• Collaborate with teams to meet client needs.

Conocimientos

Backend software development

Python

RESTful APIs

Test-Driven Development (TDD)

CI/CD

DevOps

Data engineering

Software architecture

Collaboration

English proficiency

Educación

Bachelor's in Computer Science or related field

Herramientas

Git

Docker

Kubernetes

AWS

Azure

GCP

Descripción del empleo

Join to apply for the Senior Python Developer (with ML) role at Intellectsoft

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Join to apply for the Senior Python Developer (with ML) role at Intellectsoft

Intellectsoft is a software development company delivering innovative solutions since 2007. We operate across North America, Latin America, the Nordic region, the UK, and Europe.We specialize in industries like Fintech, Healthcare, EdTech, Construction, Hospitality, and more, partnering with startups, mid-sized businesses, and Fortune 500 companies to drive growth and scalability. Our clients include Jaguar Motors, Universal Pictures, Harley-Davidson, Qualcomm, and London Stock Exchange.Together, our team delivers solutions that make a difference. Learn more at customer's product is an AI-powered platform that helps businesses make better decisions and work more efficiently. It uses advanced analytics and machine learning to analyze large amounts of data and provide useful insights and predictions. The platform is widely used in various industries, including healthcare, to optimize processes, improve customer experiences, and support innovation. It integrates easily with existing systems, making it easier for teams to make quick, data-driven decisions to deliver cutting-edge solutions.

Requirements

• 5+ years of experience in backend software development with a focus on building scalable and maintainable solutions
• Strong programming skills in Python, with a deep understanding of writing clean, efficient, and well-structured code
• Experience with web frameworks, including FastAPI and developing RESTful APIs
• Proficiency in version control using Git and maintaining structured pull requests
• Test-Driven Development (TDD) experience : writing unit tests with Pytest and implementing integration tests to ensure robustness and reliability
• Experience with CI / CD pipelines and automated deployment practices
• Familiarity with DevOps concepts, including containerization (e.g., Docker), orchestration (e.g., Kubernetes), and cloud infrastructure management (AWS, Azure, GCP)
• Experience in data engineering within Big Data ecosystems, including data pipelines and data integration
• Solid understanding of software architecture and system design for high-availability applications
• Knowledge of fundamental computer science concepts, including data structures, algorithms, and problem-solving
• Excellent communication skills and ability to work collaboratively within cross-functional teams
• Proficiency in English, both written and spoken

Nice to have skills

• Experience with Machine Learning (ML) : deploying and managing models, creating inference pipelines, and ML Ops practices
• Knowledge of ML platforms such as Airflow, SageMaker, Kubeflow, or MLFlow
• Experience with distributed computing (e.g., Spark / PySpark)
• Understanding of cloud ML deployment and model serving on platforms like AWS, Azure, or GCP
• Experience with Large Language Models (LLMs), model fine-tuning, and Retrieval-Augmented Generation (RAG) pipelines
• Experience in developing enterprise-grade applications that leverage data-driven decision-making

Responsibilities

• Develop, maintain, and optimize backend services and APIs using Python, ensuring high performance and scalability
• Design and implement data processing pipelines to handle large volumes of data efficiently
• Collaborate with cross-functional teams to understand client needs and translate them into practical features
• Write clean, testable, and maintainable code, following best practices and coding standards
• Ensure code quality through code reviews, unit testing (using Pytest), and integration testing
• Implement and maintain CI / CD pipelines, and ensure smooth deployment processes
• Integrate and manage cloud-based solutions and infrastructure (e.g., AWS, Azure, GCP)
• Utilize DevOps tools and practices for containerization and orchestration (Docker, Kubernetes)
• Monitor application performance, identify bottlenecks, and implement improvements
• Participate in team meetings, providing updates on progress and discussing upcoming tasks
• Utilize issue tracking and version control systems (like Git) to maintain high-quality software development processes
• Stay updated on the latest technologies and apply innovative solutions where applicable

Nice-to-Have Responsibilities (ML Focus) :

• Develop, refine, and utilize ML engineering platforms and components as needed
• Establish and manage processes for data preparation, feature engineering, and prediction
• Closely monitor model performance and address any issues that arise
• Explore opportunities to integrate ML workflows into backend systems when it adds value
• Stay informed about ML Ops practices and maintain pipelines for training and inference
• 35 absence days per year for work-life balance
• Udemy courses of your choice
• English courses with native-speaker
• Excellence Сenters meetups
• Online / offline team-buildings

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

IT Services and IT Consulting

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