
Machine Learning Engineer – Mid-level
A3Data
full-time
Posted on:
Location Type: Remote
Location: Brazil
Visit company websiteExplore more
About the role
- Develop, train, and improve Machine Learning models, ensuring reproducibility, scalability, and production monitoring;
- Implement and manage the model lifecycle, with versioning for code, data, metrics, and artifacts, following MLOps best practices;
- Package models as scalable, highly available services integrated into automated pipelines;
- Support and continuously improve ML solutions in production, identifying and fixing issues;
- Collaborate with Data Engineering, Data Science, and business teams in a multidisciplinary environment;
- Perform code reviews and support the technical development of more junior engineers;
- Participate in technical discussions with clients, explaining solutions, architectural decisions, and trade-offs.
Requirements
- Strong experience in Python, applying software development best practices;
- Intermediate knowledge of Machine Learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost);
- Experience with the ML model lifecycle and MLOps concepts;
- Experience with data pipelines and/or distributed processing (e.g., PySpark);
- Knowledge of job and workflow orchestration (e.g., Airflow or similar);
- Experience with containers and basic orchestration concepts;
- Experience in cloud environments and CI/CD pipelines applied to Machine Learning.
Benefits
- Meal/Food allowance via Swile.
- SulAmérica health plan with no copayment and no monthly fee for the employee.
- Amil dental plan (optional).
- Guapeco: pet health benefit.
- TotalPass: access to gyms and wellness services.
- Bonus and PLR: profit-sharing and bonuses based on company performance.
- Vittude: psychological support and mental health care.
- Open English: discounts on language courses.
- "Empresa Cidadã": extended maternity and paternity leave.
- Samsung EPP: exclusive discounts across the full Samsung product portfolio.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonMachine LearningScikit-learnTensorFlowPyTorchXGBoostMLOpsdata pipelinesPySparkCI/CD
Soft Skills
collaborationcode reviewstechnical developmentcommunicationproblem-solving