AI Architect

beBeeMachine; Málaga; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A leading data analytics company in Málaga is seeking a skilled Machine Learning Expert to join their Data & Analytics team. The ideal candidate will design, build, and maintain scalable machine learning solutions for production. Key responsibilities include collaborating with data scientists and product managers, and developing infrastructure for model training and deployment. Strong experience in applied machine learning and programming skills in Python are a must.

Formación

• Strong experience in applied machine learning, with models in production.
• Solid programming skills in Python and experience with ML frameworks.
• Experience building and deploying models using cloud services.

Responsabilidades

• Design and maintain machine learning pipelines from preprocessing to deployment.
• Collaborate with data scientists to productionize models.
• Develop infrastructure for model training and performance tracking.

Conocimientos

Applied machine learning experience

Programming skills in Python

Experience with TensorFlow

Experience with PyTorch

Experience with scikit-learn

Cloud services (AWS, GCP, Azure)

Herramientas

MLflow

Kubeflow

Airflow

SageMaker

Docker

Git

Descripción del empleo

Overview

Job Opportunity

We are seeking a skilled Machine Learning Expert to join our Data & Analytics team.

About the Role

This is an exciting opportunity for someone who\'s passionate about building scalable machine learning solutions in production, and who thrives in a fast-paced, data-rich environment.

Responsibilities

• Designing, building, and maintaining end-to-end machine learning pipelines, from data pre-processing to deployment and monitoring.
• Collaborating with data scientists to productionize models and turn prototypes into reliable, scalable systems.
• Working closely with product managers and domain experts to understand business needs and translate them into machine learning solutions.
• Developing and maintaining infrastructure for model training, testing, deployment, and performance tracking.
• Contributing to the development of real-time inference systems and microservices using machine learning models.

Qualifications

• Strong experience in applied machine learning, with models in production.
• Solid programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience building and deploying machine learning models using cloud services (AWS, GCP, or Azure).
• Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow, SageMaker).
• Good understanding of data pipelines, APIs, containers (Docker), and version control (Git).
• Experience working with large-scale datasets and SQL or NoSQL databases.