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1 VAGA DE Analista Desenvolvedor EM São Paulo / SP
Função/cargo da vaga:
Analista Desenvolvedor
Empresa:
Nome da empresa disponível para cadastrados.
Salário:
A combinar
Cidade/Estado:
São Paulo / SP
Tipo de Vaga:
Home Office
Regime de contrato:
Efetivo/CLT
Descrição da vaga:
Director of data engineering and machine learning operationsfull-Timeemployee status: regularrole type: hybridschedule: full timewe are a leading global information services company known to the rest of the world as experian. In lifes big moments, such as buying a car, sending a child to college or even opening and expanding a business, we are there to empower consumers and clients to manage their data with have over 20,000 people operating in over 44 countries and by investing in them, technology and innovation, we can help businesses transform and communities thrive, allowing more people to feel included in the opportunities available. It is in this way that every day we deliver our purpose of creating a better future. Come discover an unexpected world with descriptionárea: eits-Machine learning engineering and data platformsas the director of data engineering and machine learning operations, you will play a pivotal role in leading our data-Driven initiatives and overseeing the management and optimization of our data platform and machine learning operations. Your expertise will be crucial in shaping our data engineering strategies, ensuring the seamless integration of data, and leveraging machine learning to drive business insights and and responsibilities:1. Data engineering leadership:define the data engineering vision, strategy, and roadmap aligned with the companys business a team of data engineers to design, build, and maintain data pipelines, ensuring data quality, reliability, and best practices for data modeling, data integration, and data governance to maintain a robust and efficient data platform.2. Data platform management:oversee the design and development of a scalable and secure data platform that supports various data storage and processing with cross-Functional teams to understand data requirements and implement data solutions that cater to diverse analytical data platform performance, proactively identify bottlenecks, and optimize data processing workflows for optimal performance.3. Machine learning operations (mlops):drive the implementation of mlops practices to streamline the deployment, monitoring, and management of machine learning with data scientists to integrate machine learning models into production environments and monitor model performance over the machine learning engineering vision and standards for our mlops platform be scalable robust and reproducible while maintaining model accuracy.4. Data governance and security:implement data governance policies and ensure compliance with data privacy and enforce data security measures to protect sensitive data and maintain data integrity throughout the data lifecycle.5. Collaboration and communication:collaborate with cross-Functional teams, including data science, product, and engineering, to understand business requirements and align data data engineering and machine learning insights to executive stakeholders, guiding data-Driven decision-Making at the highest abreast of industry trends, emerging technologies, and best practices in data engineering and machine learning continuous improvement efforts within the team, implementing process enhancements and identifying opportunities for or masters degree in computer science, data science, or a related experience in data engineering, data platform management, and machine learning leadership skills with the ability to inspire and mentor teams to achieve in data modeling, etl processes, and cloud-Based data platforms (e.G., aws, azure, gcp).Experience with mlops practices, including model deployment and monitoringis highly Depth knowledge of data governance, data security, and regulatory communication and presentation skills with the ability to translate technical concepts to non-Technical Depth knowledge of machine learning engineering on how to productize ml models at scale is highly english and informationjoin us as we embark on an exciting journey to harness the power of data and machine learning to drive innovation and create meaningful impact for our organization and customers. As the director of data engineering and machine learning operations, you will be at the forefront of our data-Driven transformation, leading a talented team and shaping the future of our data meet all the skills described in the job? Studies show that women, people of color and pwd fail to apply for jobs that do not meet 100% of the requirements. Here at serasa experian we are dedicated to creating a diverse and inclusive environment. If you liked this opportunity but your experience doesnt fully fit, dont worry, we encourage you to apply anyway to have your profile reviewed!#li-Hybridexperian careers - Creating a better tomorrow together.
Cód. 9980225
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