Machine Learning Engineer
Machine Learning Engineer
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. The ideal candidate will have a strong background in mathematics, data analysis, and programming, with experience in developing machine learning solutions.
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; therefore candidates must be willing to relocate at their own expense.
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. We thank all applicants for their interest; however, only those selected for an interview will be contacted.
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views: 11
valid through: 2026-08-01