Part-Time ML Engineer: Design & Deploy AI Models

Prestige Greeters; Braga; Híbrido; EUR 15 000 - 18 000; Tempo parcial

Resumo da oferta

Prestige Greeters in Braga is seeking a skilled Machine Learning Engineer for a part-time role with the potential to move to full-time. The ideal candidate will design and implement ML models, analyze large datasets, and collaborate with cross-functional teams to deliver production-ready solutions.

The position offers a flexible work arrangement in Braga, with potential remote work considered for the right candidate. Strong background in ML libraries and programming languages is required.

Qualificações

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• Proven experience in developing machine learning algorithms and models.
• Familiarity with programming languages such as Python, R, or Java.
• Experience using ML libraries such as TensorFlow, PyTorch, or scikit-learn.
• Strong analytical skills and ability to work with large datasets.
• Excellent problem-solving and communication skills.
• Ability to work independently as well as collaboratively in a team.

Responsabilidades

• Designing and developing machine learning algorithms and models.
• Analyzing large datasets and identifying patterns and trends.
• Collaborating with cross-functional teams to understand business needs and develop solutions.
• Implementing machine learning solutions in production environments.
• Continuously monitoring and evaluating the performance of machine learning models.
• Keeping up-to-date with industry trends, best practices, and advancements in ML technologies.

Conhecimentos

Analytical skills

Problem solving

Communication

Teamwork / collaboration

Independent work

Formação académica

BSc or MSc in Computer Science / Math / Statistics

Ferramentas

TensorFlow

PyTorch

scikit-learn

Python

R

Java

Descrição da oferta de emprego

Prestige Greeters in Braga is seeking a skilled Machine Learning Engineer for a part-time role with the potential to move to full-time. The ideal candidate will design and implement ML models, analyze large datasets, and collaborate with cross-functional teams to deliver production-ready solutions.

The position offers a flexible work arrangement in Braga, with potential remote work considered for the right candidate. Strong background in ML libraries and programming languages is required.