
Senior Machine Learning Engineer
A3Data
full-time
Posted on:
Location Type: Remote
Location: Brazil
Visit company websiteExplore more
Job Level
About the role
- Define and implement scalable, reproducible, monitorable, production-ready Machine Learning architectures.
- Develop, evolve, and maintain production Machine Learning pipelines and services, ensuring reliability and performance.
- Deploy highly available models and pipelines with a focus on MLOps, CI/CD, and automation.
- Collaborate with data scientists, data engineers, developers, and business stakeholders.
- Diagnose and resolve complex issues related to models and pipelines in production.
- Lead technical discussions and workshops, and support architectural decisions with teams and clients.
- Contribute to raising the client's and A3 Data's technical maturity by promoting best practices.
Requirements
- Strong software development experience with advanced proficiency in Python.
- Proven experience with Machine Learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost).
- Hands-on experience across the full Machine Learning model lifecycle, including MLOps.
- Experience with containers and orchestration (e.g., Docker, Kubernetes).
- Experience deploying Machine Learning solutions in cloud environments (AWS, GCP, or Azure).
- Knowledge of CI/CD, Infrastructure as Code (IaC), and pipeline automation.
- Experience with versioning, monitoring, and managing models in production.
Benefits
- Swile meal/food voucher (Vale Refeição/Alimentação Swile).
- SulAmérica health plan with no co-payment and no monthly fee for the employee.
- Optional Amil dental plan.
- Guapeco: pet healthcare benefit.
- TotalPass: access to gyms and wellness services.
- Bonus and profit-sharing (PLR): participation in company results based on performance.
- Vittude: mental health support and psychological care.
- Open English: discounts on language courses.
- Empresa Cidadã: extended maternity and paternity leave.
- Samsung EPP: exclusive discounts across Samsung's product portfolio.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonMachine LearningMLOpsCI/CDScikit-learnTensorFlowPyTorchXGBoostDockerKubernetes
Soft Skills
collaborationproblem-solvingleadershipcommunicationtechnical discussionsworkshopssupporting architectural decisionspromoting best practices