Machine Learning Engineer vacancy in Braga Portugal

Machine Learning Engineer
Location: Braga, Portugal
Profession: Machine Learning Engineer


We are seeking a highly skilled and experienced Machine Learning Engineer to join our team in Braga. In this role, you will be responsible for developing and implementing machine learning algorithms and models for our company's data analysis needs.

Key Responsibilities:
- Design, develop, and implement machine learning algorithms and models to extract insights from large data sets
- Collaborate with cross-functional teams to identify business needs and translate them into technical solutions
- Perform data preprocessing tasks such as data cleaning, feature selection, and dimensionality reduction
- Train and test models using various machine learning techniques such as supervised and unsupervised learning
- Monitor model performance and make necessary adjustments to improve accuracy and efficiency
- Communicate findings and insights to both technical and non-technical stakeholders

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Minimum of 3 years experience in a similar role, preferably in a fast-paced environment
- Strong knowledge of machine learning techniques such as regression, clustering, decision trees, etc.
- Proficiency in programming languages such as Python or R
- Experience with popular machine learning libraries like TensorFlow or scikit-learn
- Solid understanding of statistics and probability theory
- Excellent problem-solving skills with the ability to think critically
- Strong communication skills with the ability to present complex information in a clear and concise manner
- Attention to detail and ability to work independently

Salary:
The salary for this position is 1600$ per month.

Location:
This is a part-time job located in Braga. Accommodation can be provided if needed.

About Us:
Our company is a leading provider of innovative solutions in the field of data analysis. We are committed to creating a diverse and inclusive work environment where employees can thrive. As an equal opportunity employer, we welcome and encourage applicants of all backgrounds to apply.