Machine Learning Engineer, Mid-level
AM53 Smart Solutions
full-time
Posted on:
Location Type: Remote
Location: Brazil
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About the role
- Propose analytical approaches and predictive models to optimize outcomes.
- Develop and validate Machine Learning models.
- Design experiments and validate hypotheses based on evidence.
- Prepare and analyze data for model development.
- Monitor the performance of implemented solutions and recommend continuous improvements.
- Collaborate with business, product, and technology teams.
Requirements
- Experience developing and validating Machine Learning models.
- Familiarity with classification, regression, or segmentation techniques.
- Experience in exploratory data analysis and feature engineering.
- Knowledge of model evaluation metrics and statistical validation.
- Experience with model tuning and preventing overfitting.
- Ability to formulate hypotheses and assess results using metrics.
- Experience preparing and processing data for analysis.
- Ability to translate technical analyses into business recommendations.
- Proactive in identifying opportunities for improvement.
- Experience deploying and monitoring models in production.
- Experience with training pipelines and model versioning.
- Experience with A/B testing or impact evaluation.
Benefits
- Responsibilities and duties: Understand business problems and translate them into data-driven solutions.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine Learningclassification techniquesregression techniquessegmentation techniquesexploratory data analysisfeature engineeringmodel evaluation metricsstatistical validationmodel tuningA/B testing
Soft Skills
analytical thinkingcollaborationhypothesis formulationbusiness communicationproactive improvement identification