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RedLine Freight Services

Porto / Global

Machine Learning Engineer

  • €10.659 - €12.767

Job Description

We are seeking a highly skilled Machine Learning Engineer to join our dynamic team in Porto, Portugal.

As a Machine Learning Engineer you will be responsible for developing and implementing machine learning algorithms and models to analyze large datasets and deliver actionable insights.

Responsibilities

- Develop and implement machine learning algorithms and models to analyze large datasets.

- Collaborate with cross‑functional teams to identify business problems that can be solved using machine learning techniques.

- Design experiments to test hypotheses and validate models.

- Clean, preprocess and analyze data to prepare it for use in machine learning models.

- Train and evaluate different machine learning models using appropriate metrics.

- Optimize the performance of existing machine learning models.

- Communicate technical concepts and results to non‑technical stakeholders.

Requirements

- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.

- Minimum of 2 years of experience as a Machine Learning Engineer or Data Scientist.

- Strong knowledge of machine learning techniques such as regression, classification, clustering, reinforcement learning, etc.

- Proficiency in programming languages such as Python or R.

- Experience with deep learning frameworks such as TensorFlow or PyTorch.

- Knowledge of data visualization tools such as Tableau or Power BI is a plus.

- Excellent problem‑solving skills and attention to detail.

- Ability to work independently and collaboratively in a fast‑paced environment.

Salary

The salary for this position is 1200$ per month.

Location

This position is based in Porto, Portugal. Relocation assistance is not provided; candidates must be willing to relocate at their own expense.

Equal Employment Opportunity

We are an equal‑opportunity employer committed to creating an inclusive work environment for all employees. We celebrate diversity and are committed to providing equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

If you require accommodation during the application process please let us know.

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