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Python developer (macos) ref: 1455

Sevilla (41001)
UpcoMinds
Publicada el 25 abril
Descripción

We are currently seeking a talented Python Developer (macOS / MLX / LLM) for one of our clients in the Information Technology sector.


Por favor, presente su candidatura sin demora si su perfil encaja bien con este puesto, debido al alto nivel de interés.

Location: Malaga, Spain

Working model: onsite (room and board provided)

Seniority: Junior-Mid

Language: English

Role Overview

We are looking for a skilled Python Developer with strong macOS experience to join our team. The ideal candidate has a solid background in Python scripting, is comfortable working within the macOS ecosystem, and has hands-on experience with MLX and Large Language Models (LLMs).

Key Responsibilities

* Develop and maintain Python-based applications and scripts tailored for macOS environments
* Design and implement efficient automation workflows using Python
* Work with MLX frameworks to build and optimize machine learning models on Apple Silicon
* Integrate and deploy Large Language Models (LLMs) into production systems
* Collaborate with cross-functional teams to define, design, and ship new features
* Optimize performance and scalability of existing systems
* Troubleshoot, debug, and upgrade software as needed
* Stay up to date with emerging technologies in AI/ML and macOS development

Required Qualifications

* Strong proficiency in Python, with a focus on scripting and automation
* Hands-on experience developing on macOS (including system-level understanding)
* Experience with MLX or similar machine learning frameworks on Apple hardware
* Practical experience working with Large Language Models (LLMs)
* Familiarity with APIs, data processing, and model integration
* Solid understanding of software development best practices
* Ability to write clean, maintainable, and well-documented code
* Advanced English language skills

Preferred Qualifications

* Experience with Apple Silicon optimization (M1/M2/M3 chips)
* Knowledge of machine learning pipelines and model deployment
* Familiarity with frameworks such as PyTorch, TensorFlow, or similar
* Experience with prompt engineering or LLM fine-tuning
* Background in performance optimization on macOS
* Experience with version control systems (e.g., Git)

Freelancers are welcome

Benefits

* Competitive remuneration package
* Room and board provided
* Private Insurance
* A dynamic challenging environment resulting in continuous learning / education / progression
* Ability to work with cutting edge technologies
* Pleasant working environment
* Ability to expand knowledge and responsibilities

UpcoMinds is a dynamic IT company with 29 years of experience that provides end-to-end web and mobile solutions helping businesses to reinvent themselves in the digital world. Our team's skills and expertise will ensure the holistic digital transformation of any organization, which will considerably improve both business operations and customer's experience.

Our goal is to always have our end products and services reflect our deep engineering skills and elegant progressive design aesthetic. We fundamentally believe deeply in developing long term strategic partnerships with our clients by exceeding expectations and maintaining a high level of transparency.

Find out more about us at commit to promote Inclusion & Diversity by creating a working environment where all employees are treated with dignity and respect and where individual differences are valued. We offer equal opportunity in all aspects of employment.

Our recruitment consultants will go through your Curriculum Vitae as soon as possible and get back to you to discuss the opportunity for which you apply. xohynlm If you don't hear from us in the coming ten (10) working days, you may consider that you have not been selected for the particular job.

By submitting your CV, you consent to its retention in our database for a period of two (2) years, for the purpose of considering your application for current or future employment opportunities, in accordance with applicable data protection legislation GDPR.

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