Data Scientist/ Machine Learning Engineer

Há 21 horas


Curitiba, Brasil Bebeemachine Tempo inteiro

About Our Machine Learning TeamWe are a leading school search company with a mission to make researching and enrolling in schools easy, transparent, and free.Job OverviewIdentify Priorities: Collaborate closely with product, engineering, data analytics, and business stakeholders to identify and prioritize the most impactful machine learning opportunities that align with our strategic goals.Develop Models: Lead the end-to-end development of machine learning models – from data collection and feature engineering to algorithm selection, training, tuning, and validation.Deploy Systems: Develop production-grade code and systems to deploy, serve, and monitor machine learning models at scale, ensuring reliability and performance.Evaluate Performance: Define key performance metrics, establish robust monitoring frameworks, analyze model performance in production, and drive continuous improvement through iteration and experimentation.This is a critical role where you will have the unique opportunity to shape the future of data science and machine learning.Key Responsibilities:Data Collection - Collect relevant data for machine learning models, considering data quality and availability.Model Development - Design and implement machine learning algorithms, selecting the best approach based on problem complexity and available resources.System Integration - Develop and integrate machine learning models into existing systems, ensuring seamless interactions and optimal performance.Evaluation and Improvement - Continuously evaluate model performance, identifying areas for improvement and implementing changes to enhance overall effectiveness.This role requires strong collaboration with cross-functional teams, excellent problem-solving skills, and a passion for driving innovation through data-driven insights.What We Offer:A dynamic work environment with opportunities for growth and professional development.Competitive compensation and benefits packages.Flexible work arrangements to support work-life balance.Opportunities to collaborate with talented professionals and contribute to cutting-edge projects.



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