Machine Learning Engineer

GreenLine Electronics; Braga; On-site; EUR 15,000 - 18,000; Part time

Benefits offered by this job

Accommodation

Job summary

GreenLine Electronics in Braga, Portugal, is seeking a part-time Machine Learning Engineer to develop and implement ML models. You will work on data preprocessing, model training, and collaboration with cross-functional teams to translate business needs into technical solutions.

The ideal candidate has 3+ years in ML, strong Python/R skills, and experience with TensorFlow or scikit-learn. Excellent communication and independent work habits are essential for success in a fast-paced environment.

Qualifications

• 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 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 clearly.

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.

Skills

Python

R

Data analysis

Strong communication

Independent work

Problem solving

Education

Bachelor's or Master's in CS/DS

Tools

TensorFlow

scikit-learn

Pandas/Numpy

Job description

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.