Machine Learning Pleno

São Carlos - Brazil

Monthly Salary: Not Disclosed

Posted on: 15 hours ago

Vacancies: 1 Vacancy

Job Summary

To design build and optimize productionready AI components that power Experians GenAI and datadriven products. This role contributes directly to scalable model deployment robust MLOps practices and highperformance ML services that enable engineering and product teams across ESS.
Develop and deploy AI applications (e.g. agents) that meet functional and nonfunctional requirements by building accurate clean testable code and exposing scalable inference endpoints.
Implement MLOps best practices across the lifecycleexperiment tracking model/version registry CI/CD for data & models automated testing and rollout/rollback patterns.
Build and maintain data & training pipelines (feature extraction validation drift checks) using cloud services and orchestration tools.
Integrate models with platform services (APIs gateways auth logging/metrics) in partnership with platform and security teams.
Optimize performance and cost for training and inference (batching quantization caching GPU utilization).
Operational excellence: participate in oncall/incident response rootcause analysis and reliability hardening (alerts SLOs canaries).
Documentation and knowledge sharing (READMEs runbooks diagrams) and code reviews.
Crossfunctional collaboration with product data and platform teams to refine requirements scope work and deliver on agreed timelines.
Compliance security and responsible AI practices in daytoday work (data handling privacy model monitoring for drift/quality).

Qualifications :

Advanced English and availability to work hybrid in São Carlos/SP.
Expert-level Python engineering skills with hands on experience using modern ML and LLM frameworks (PyTorch TensorFlow Hugging Face LangChain/LangGraph or equivalent agent frameworks
Proven experience designing and building agentic AI systems including tool-using agents multi-step reasoning workflows planning/execution loops memory management and human-in-the-loop patterns
Strong command of ML and LLM lifecycle best practices spanning experimentation evaluation versioning deployment observability and continuous improvement of agent-based systems
Experience operationalizing AI at scale including model serving inference optimization agent orchestration and API-driven ML/LLM services
Ability to collaborate effectively in cross-functional teams clearly communicating complex agentic and ML concepts to engineers product managers and stakeholders

Additional Information :

Por que esta função é importante

Esta função protege a reputação da Experian e garante operações éticas e em conformidade em todo o Brasil. Ao combinar rigor regulatório com soluções pragmáticas e visão comercial o Head de Compliance possibilita crescimento sustentável e protege os interesses de clientes colaboradores e stakeholders.

A Serasa Experian é muito mais do que você o propósito de criar um futuro melhor ampliando oportunidades para pessoas e empresas no Brasil somos mais de 4 mil pessoas que atuam em diversos times e especialidades. Aqui cada conhecimento e diversidade se complementa e você pode trabalhar no que mais ama estamos comprometidos a construir uma cultura inclusiva e um ambiente no qual pessoas possam equilibrar a carreira com seus compromissos e interesses pessoais prezando pelo bem-estar.

A gente se dedica muito em ser uma das melhores e mais inovadoras empresas para se trabalhar do país possibilitando experiências e carreiras incríveis para nossas pessoas. Nossa forte abordagem de pessoas em primeiro lugar é reconhecida externamente por meio de diversas certificações de mercado: fomos premiados pelo Great Place To Work em 24 países e pela certificação internacional Top Employers além de sermos reconhecidos como uma das melhores empresas para jovens profissionais e contarmos com uma avaliação de 46 no Glassdoor. Cada reconhecimento nos indica que estamos no caminho certo proporcionando um ambiente de trabalho cada vez melhor para nossos talentos.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Remote Work :

Employment Type :

Full-time

To design build and optimize productionready AI components that power Experians GenAI and datadriven products. This role contributes directly to scalable model deployment robust MLOps practices and highperformance ML services that enable engineering and product teams across ESS.Develop and deploy AI...

To design build and optimize productionready AI components that power Experians GenAI and datadriven products. This role contributes directly to scalable model deployment robust MLOps practices and highperformance ML services that enable engineering and product teams across ESS.
Develop and deploy AI applications (e.g. agents) that meet functional and nonfunctional requirements by building accurate clean testable code and exposing scalable inference endpoints.
Implement MLOps best practices across the lifecycleexperiment tracking model/version registry CI/CD for data & models automated testing and rollout/rollback patterns.
Build and maintain data & training pipelines (feature extraction validation drift checks) using cloud services and orchestration tools.
Integrate models with platform services (APIs gateways auth logging/metrics) in partnership with platform and security teams.
Optimize performance and cost for training and inference (batching quantization caching GPU utilization).
Operational excellence: participate in oncall/incident response rootcause analysis and reliability hardening (alerts SLOs canaries).
Documentation and knowledge sharing (READMEs runbooks diagrams) and code reviews.
Crossfunctional collaboration with product data and platform teams to refine requirements scope work and deliver on agreed timelines.
Compliance security and responsible AI practices in daytoday work (data handling privacy model monitoring for drift/quality).

Qualifications :

Advanced English and availability to work hybrid in São Carlos/SP.
Expert-level Python engineering skills with hands on experience using modern ML and LLM frameworks (PyTorch TensorFlow Hugging Face LangChain/LangGraph or equivalent agent frameworks
Proven experience designing and building agentic AI systems including tool-using agents multi-step reasoning workflows planning/execution loops memory management and human-in-the-loop patterns
Strong command of ML and LLM lifecycle best practices spanning experimentation evaluation versioning deployment observability and continuous improvement of agent-based systems
Experience operationalizing AI at scale including model serving inference optimization agent orchestration and API-driven ML/LLM services
Ability to collaborate effectively in cross-functional teams clearly communicating complex agentic and ML concepts to engineers product managers and stakeholders

Additional Information :

Por que esta função é importante

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Remote Work :

Employment Type :

Full-time

Key Skills

Industrial Maintenance
Machining
Mechanical Knowledge
CNC
Precision Measuring Instruments
Schematics
Maintenance
Hydraulics
Plastics Injection Molding
Programmable Logic Controllers
Manufacturing
Troubleshooting

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About Company

Experian

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, ... View more

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