Junior ML Engineer in Lisbon: Flexible Hours & Growth

Avanta Works; Lisboa; Presencial; EUR 13 000 - 20 000; Tempo parcial

Resumo da oferta

Avanta Works in Lisbon invites a Machine Learning Engineer to build and deploy models for our products. You will collaborate with data scientists and software engineers to design and implement algorithms, test performance, and iterate with new data.

The role offers flexible hours with part-time or full-time options and a preference for local candidates. Strong Python, ML knowledge, and experience with TensorFlow/PyTorch are valued.

Qualificações

• Bachelor's or Master's degree in Computer Science, Mathematics, or a related field.
• Strong programming skills in Python, R, or Java.
• Knowledge of ML concepts: regression, classification, clustering, etc.
• Familiarity with TensorFlow, PyTorch, or Keras.
• Experience with Pandas or Tableau for data analysis/visualization.
• Ability to collaborate and communicate across teams.

Responsabilidades

• Develop and implement machine learning models for our products.
• Collaborate with data scientists, software engineers, and other team members to design and implement algorithms and models.
• Test and evaluate the performance of machine learning models.
• Continuously improve existing models based on feedback and new data.
• Stay up-to-date with the latest advancements in machine learning technology.

Conhecimentos

Python

R

Java

ML concepts

Communication

Formação académica

Bachelor's or Master's in CS/Math/related

Ferramentas

TensorFlow

PyTorch

Keras

Pandas

Tableau

Descrição da oferta de emprego

Avanta Works in Lisbon invites a Machine Learning Engineer to build and deploy models for our products. You will collaborate with data scientists and software engineers to design and implement algorithms, test performance, and iterate with new data.

The role offers flexible hours with part-time or full-time options and a preference for local candidates. Strong Python, ML knowledge, and experience with TensorFlow/PyTorch are valued.