Machine Learning Expert

Snaphunt; España; A distancia; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A technology company in Spain is seeking a Machine Learning Engineer to design, implement, and deploy ML models for various applications. The ideal candidate has a PhD and over 7 years of experience in machine learning and AI engineering. This role offers a great work environment and flexible working options for making a positive impact.

Servicios

Great work environment

Opportunity to make a positive impact

Flexible working options

Formación

• 7+ years of experience in machine learning, AI engineering, or applied data science.
• Hands-on experience designing and deploying ML models to production at scale.
• Strong understanding of supervised, unsupervised, and reinforcement learning techniques.

Responsabilidades

• Design, implement, and deploy machine learning models for predictive analytics.
• Develop end-to-end ML pipelines from data ingestion to model deployment.
• Monitor model performance and troubleshoot issues to ensure reliability.

Conocimientos

Python

Machine Learning frameworks (TensorFlow, PyTorch, scikit-learn)

Data processing tools (Pandas, NumPy, Spark)

Cloud platforms (AWS, Azure, GCP)

Educación

Advanced degree (PhD) in Mathematics, Statistics, Computer Science or a related field

Descripción del empleo

The Role :

• Design, implement, and deploy machine learning models for predictive analytics, recommendation systems, anomaly detection, and other AI-driven applications.
• Work with large, complex datasets to perform data cleaning, feature engineering, and transformation for model training.
• Develop end-to-end ML pipelines, from data ingestion to model deployment and monitoring in production.
• Work with software engineers and product teams to integrate ML models into applications and services.
• Monitor model performance, troubleshoot issues, and implement improvements to ensure reliability and accuracy.
• Evaluate new algorithms, tools, and frameworks to enhance the company’s ML capabilities.
• Document model architectures, assumptions, and design decisions for knowledge sharing and reproducibility.

Ideal Profile :

• You possess an advanced degree, ideally a PHD, in Mathematics, Statistics, Computer Science or a related field.
• 7+ years of experience in machine learning, AI engineering, or applied data science.
• Strong expertise in Python, ML frameworks (TensorFlow, PyTorch, scikit-learn), and data processing tools (Pandas, NumPy, Spark).
• Hands-on experience designing and deploying ML models to production at scale.
• Strong understanding of supervised, unsupervised, and reinforcement learning techniques.Experience with cloud platforms (AWS, Azure, GCP) and deploying ML pipelines in cloud environments.
• Ability to solve complex, ambiguous technical problems and deliver production-ready solutions.
• Excellent collaboration and communication skills to work across engineering, data, and product teams.

What's on Offer?

• Great work environment
• Opportunity to make a positive impact
• Flexible working options