Entry-Level ML Engineer in Lisbon — Growth & Travel

Workato; Lisboa; Presencial; EUR 12 000 - 17 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Professional growth

Dynamic work environment

International travel opportunities

Supportive team culture

Resumo da oferta

Workato in Lisbon, Portugal is seeking a Junior Machine Learning Engineer to join our innovative team. You will work closely with senior engineers to build ML models and analyze data for actionable insights.

This entry-level role offers growth opportunities, exposure to cutting-edge technologies, international travel for collaborations, and a supportive team culture that welcomes fresh ideas from a diverse international team. Accommodation will not be provided.

Qualificações

• Bachelor's or Master's degree in CS, engineering, or related field.
• Knowledge of ML techniques and algorithms such as neural networks, decision trees, clustering.
• Experience with programming languages such as Python, R, or Java.
• Familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Strong analytical and problem-solving skills; excellent communication.

Responsabilidades

• Work with senior engineers to develop ML models.
• Gather and analyze data from various sources to identify patterns.
• Experiment with different algorithms to optimize model performance.
• Collaborate with cross-functional teams to deploy models into production.
• Stay updated on advances in ML techniques and technologies.

Conhecimentos

Python

R

Java

TensorFlow

PyTorch

Analytical skills

Teamwork

Formação académica

Bachelor's degree in Computer Science, Engineering, or related field

Master's degree in Computer Science, Engineering, or related field

Ferramentas

PyTorch

Descrição da oferta de emprego

Workato in Lisbon, Portugal is seeking a Junior Machine Learning Engineer to join our innovative team. You will work closely with senior engineers to build ML models and analyze data for actionable insights.

This entry-level role offers growth opportunities, exposure to cutting-edge technologies, international travel for collaborations, and a supportive team culture that welcomes fresh ideas from a diverse international team. Accommodation will not be provided.