Machine Learning Engineering Coordinator

Posted 7 hours ago

This is a fully remote position, open to applicants in Brazil.

πŸ“‹ Description

β€’ Develop the machine learning engineering framework for the function.

β€’ Automate data pipelines and processes for retraining.

β€’ Implement model versioning alongside a model registry.

β€’ Establish ongoing monitoring for models in a production environment.

β€’ Design and enhance machine learning algorithms.

β€’ Model, optimize, and continuously enhance the performance of models in production.

β€’ Deploy models to production and ensure their reliability at a scale of hundreds of thousands of calls daily.

β€’ Utilize production data to inform accuracy objectives.

β€’ Directly manage a team of three individuals.

β€’ Conduct one-on-one meetings, provide constructive feedback, support career advancement, and oversee task prioritization.

β€’ Incorporate industry best practices into ML engineering methodologies.

β€’ Link the team's efforts to business outcomes and product teams.

β€’ Stay actively involved and contribute code.


⛳️ Requirements

β€’ Extensive experience in traditional machine learning, with proprietary models deployed in a production environment.

β€’ Proficiency in modeling, tuning, and continuous performance improvement.

β€’ Experience in deploying models to production and maintaining them post-deployment.

β€’ Hands-on MLOps experience, including containerization, model versioning and registries, orchestration, and retraining pipelines.

β€’ Demonstrated experience in leading teams.

β€’ Strong, open, and assertive communication skills.

β€’ Proficiency in Python and its standard ecosystem.

β€’ Preferred: experience in applied computer vision, segmentation, classification, OCR, and fine-tuning vision foundation models.

β€’ Preferred: background in fraud prevention, KYC, biometrics, document analysis, or risk assessment.

β€’ Preferred: experience in establishing an ML practice from the ground up.

β€’ Preferred: familiarity with lean environments.

β€’ Preferred: ability to bridge the gap between technical teams and business functions.


🏝️ Benefits

β€’ Annual profit-sharing bonus equivalent to 2–3 monthly salaries.

β€’ Health and dental insurance.

β€’ Benefits card providing meal and food allowances.

β€’ Wellness and physical activity programs.

β€’ Transportation allowance.

β€’ Life insurance equal to 24 monthly salaries.

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