Machine Learning Engineer

. Collect, clean, and organize relevant datasets .

Posted 9/25/2026full-timeCuritiba • BrazilMid-LevelSeniorWebsite

Tools & technologies

AWSCloudDockerEC2KerasPandasPythonScikit-LearnTensorflow

Key responsibilities & impact

Collect, clean, and organize relevant datasets
Perform exploratory analysis to identify patterns and trends applicable to machine learning projects
Design, implement, and evaluate machine learning algorithms
Perform feature selection, hyperparameter tuning, and model validation
Create training and test datasets, train models, and evaluate their effectiveness using accuracy, precision, and recall
Implement cross-validation to ensure robustness
Use visualization tools to communicate insights clearly
Explore correlations and provide actionable recommendations based on detected patterns
Optimize existing models to improve accuracy, efficiency, and scalability
Collaborate with multidisciplinary teams and provide technical support in machine learning and data analysis
Keep code and data repositories organized and up to date

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
Knowledge of algorithms, statistics, and data analysis
Experience with computer vision using libraries such as OpenCV
Hands-on experience with Python and frameworks such as TensorFlow, Keras, and scikit-learn
Experience with libraries such as Pandas for data processing
Knowledge of Matplotlib for creating charts and visualizing results
Knowledge of cloud computing services, especially AWS (SageMaker, Lambda, EC2)
Familiarity with virtualization tools, especially Docker
Experience with version control using GitHub

Comp & perks