Real-Time Machine Learning Engineer – Contract in Faro

ConFlip; Faro; Vor Ort; EUR 9.300 - 13.000; Vollzeit

Zusammenfassung

ConFlip is seeking a Machine Learning Engineer in Faro, Portugal, to develop scalable ML systems and real-time models. The role requires 2+ years of ML experience, proficiency in Python/Java/C++, and exposure to TensorFlow or PyTorch. Candidates must be able to work independently and with cross-functional teams.

The position is a contract role based in Faro with no housing provided and requires work authorization in Portugal. Salary is $1100 per month.

Qualifikationen

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Minimum 2 years of experience as a Machine Learning Engineer or similar role.
• Proficiency in Python, Java, or C++, with deep learning frameworks experience.

Aufgaben

• Develop and implement machine learning algorithms and models for various applications.
• Collaborate with cross-functional teams to translate business needs into technical requirements.
• Design, build, and maintain scalable ML systems for large datasets.
• Test, evaluate, and optimize models to ensure high performance and accuracy.
• Work with large datasets to train and fine-tune models and troubleshoot data issues.
• Communicate complex concepts to non-technical stakeholders.

Kenntnisse

Python

Java

C++

TensorFlow

PyTorch

Data mining

Statistical modeling

Problem-solving

Independent work

Ausbildung

Bachelor's or Master's degree in Computer Science or Data Science

Tools

TensorFlow

PyTorch

Jobbeschreibung

ConFlip is seeking a Machine Learning Engineer in Faro, Portugal, to develop scalable ML systems and real-time models. The role requires 2+ years of ML experience, proficiency in Python/Java/C++, and exposure to TensorFlow or PyTorch. Candidates must be able to work independently and with cross-functional teams.

The position is a contract role based in Faro with no housing provided and requires work authorization in Portugal. Salary is $1100 per month.