Machine Learning Engineer (Fully Remote)

Unknown; Deutschland; Remote; EUR 55.000 - 85.000; Vollzeit

Benefits dieser Stelle

Fully remote

Zusammenfassung

Unknown is seeking a talented machine learning engineer to develop, train, test, and deploy AI models in production environments. You will prepare and analyze datasets, implement experimentation pipelines, monitor model performance, and collaborate with remote teams to ship reliable AI features.

Proficiency with PyTorch or TensorFlow and strong problem solving are essential, as is comfort with a fast-moving remote environment that rewards initiative and practical results.

Qualifikationen

• Experience in ML model development, training and evaluation.
• Strong Python programming skills.
• Familiarity with ML frameworks PyTorch or TensorFlow.
• Ability to work effectively in a fast-moving remote environment.

Aufgaben

• Develop, train, test, and deploy ML models in production.
• Prepare, clean, analyze, and manage datasets for model training and validation.
• Deploy, maintain, and monitor ML models in production environments.

Kenntnisse

Machine learning

Python

PyTorch

TensorFlow

Problem solving

Remote collaboration

Tools

PyTorch

TensorFlow

Jobbeschreibung

• Develop, train, test, and evaluate machine learning models to support product objectives.
• Prepare, clean, analyze, and manage datasets used for model training and validation.
• Deploy, maintain, and monitor machine learning models in production environments.

Requirements:

• 1+ year of experience in machine learning, software engineering, or data science.
• Strong programming skills in Python and familiarity with frameworks like PyTorch or TensorFlow.
• Good problem-solving skills and ability to work in a fast-moving remote environment.
• Fully remote work opportunity with flexible working environment.
• Opportunity to build and improve real-world AI products.
• Competitive compensation based on experience.

Unknown

The partner company develops AI-powered products to solve real-world challenges. They offer a fully remote, flexible work environment with a focus on innovation and collaboration.