Engenheiro de Machine Learning (Deep Learning & Foundation Models)

<p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong>No seu dia-a-dia:</strong></span></p> <ul> <li style="font-family: helvetica, arial, sans-serif; line-height: 1.5; font-size: 10pt;" data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Desenvolver e evoluir modelos de Deep Learning (Transformers / Foundation Models), incluindo geração e uso de embeddings.</li> <li style="font-family: helvetica, arial, sans-serif; line-height: 1.5; font-size: 10pt;" data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Conduzir experimentação (hipóteses, métricas, ablações) e aplicar abordagens self-supervised e fine-tuning eficiente (ex.: LoRA/QLoRA/Adapters quando aplicável).</li> <li style="font-family: helvetica, arial, sans-serif; line-height: 1.5; font-size: 10pt;" data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Estruturar pipelines e entregar modelos prontos para produção (treino, validação, inferência e monitoramento).</li> <li style="font-family: helvetica, arial, sans-serif; line-height: 1.5; font-size: 10pt;" data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Atuar em parceria com times de Crédito, Risco e Tecnologia, traduzindo necessidades do negócio em soluções técnicas.</li> <li style="font-family: helvetica, arial, sans-serif; line-height: 1.5; font-size: 10pt;" data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Compartilhar conhecimento e boas práticas com o time, contribuindo para padrões técnicos e evolução da stack.&nbsp;</li> </ul> <p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong>Esperamos de você:</strong></span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Formação superior completa</span><span data-contrast="auto">&nbsp;em Engenharia, Computação, Estatística, Matemática,&nbsp;Física&nbsp;ou áreas correlatas.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Experiência com <span data-contrast="auto">Python</span><span data-contrast="auto">&nbsp;e&nbsp;</span><span data-contrast="auto">SQL</span><span data-contrast="auto">.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Experiência prática com <span data-contrast="auto">Deep&nbsp;Learning</span><span data-contrast="auto">&nbsp;e frameworks como&nbsp;</span><span data-contrast="auto">PyTorch,&nbsp;TensorFlow&nbsp;e/ou&nbsp;Keras</span><span data-contrast="auto">.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Conhecimento sólido de <span data-contrast="auto">Transformers</span><span data-contrast="auto">, mecanismos de atenção e aplicação de&nbsp;</span><span data-contrast="auto">embeddings</span><span data-contrast="auto">.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Vivência em projetos de ML/IA <span data-contrast="auto">do protótipo à entrega</span><span data-contrast="auto">, com foco em qualidade, reprodutibilidade e métricas.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Perfil analítico, autonomia, boa comunicação e argumentação técnica e de negócios.<span data-ccp-props="{}">&nbsp;</span></li> </ul> <p>&nbsp;</p> <p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><strong>Diferenciais:</strong></span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Experiência com&nbsp;</span><span data-contrast="auto">risco de crédito</span><span data-contrast="auto">&nbsp;(modelagem, indicadores, estratégia, performance/estabilidade).</span></li> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Experiência com <span data-contrast="auto">Foundation Models/LLMs</span><span data-contrast="auto">&nbsp;(pré-treinamento, fine-tuning&nbsp;e/ou&nbsp;embeddings&nbsp;em dados tabulares/temporais).</span></li> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Experiência com <span data-contrast="auto">GNNs</span><span data-contrast="auto">&nbsp;(PyG/DGL) e grafos em escala.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Vivência com&nbsp;<span data-contrast="auto">MLOps</span><span data-contrast="auto">&nbsp;(CI/CD,&nbsp;monitoramento, drift),&nbsp;</span><span data-contrast="auto">Docker</span><span data-contrast="auto">,&nbsp;</span><span data-contrast="auto">Airflow/Spark</span><span data-contrast="auto">.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Experiência com <span data-contrast="auto">cloud</span><span data-contrast="auto">&nbsp;(AWS/GCP) e treinamento/inferência em escala.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Inglês avançado.<span data-ccp-props="{}">&nbsp;</span></li> </ul> <p><span style="font-size: 10pt; font-family: helvetica, arial, sans-serif;"><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559740&quot;:240}">&nbsp;</span></span></p> <p style="text-align: justify;"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><strong>Remuneração e Benefícios:</strong></span></p> <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="2" data-aria-level="1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><span data-usefontface="true" data-contrast="none">Participação nos Lucros e Resultados (PLR);</span>​</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="3" data-aria-level="1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><span data-usefontface="true" data-contrast="none">Remuneração variável por performance (bônus anual);</span>​</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="4" data-aria-level="1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><span data-usefontface="true" data-contrast="none">Auxílio Alimentação e Refeição;</span>​</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="5" data-aria-level="1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><span data-usefontface="true" data-contrast="none">Plano Médico;</span>​</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="6" data-aria-level="1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><span data-usefontface="true" data-contrast="none">Plano Odontológico;</span>​</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="7" data-aria-level="1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><span data-usefontface="true" data-contrast="none">Auxílio Creche/Babá;</span>​</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="8" data-aria-level="1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><span data-usefontface="true" data-contrast="none">Vale Transporte;</span>​</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="9" data-aria-level="1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><span data-usefontface="true" data-contrast="none">WellHub</span><span data-usefontface="true" data-contrast="none">;</span>​</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="10" data-aria-level="1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><span data-usefontface="true" data-contrast="none">TotalPass</span><span data-usefontface="true" data-contrast="none">;</span>​</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="11" data-aria-level="1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><span data-usefontface="true" data-contrast="none">Programa de Apoio Pessoal (EAP);</span>​</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="12" data-aria-level="1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><span data-usefontface="true" data-contrast="none">Planos por adesão como Previdência Privada e Seguro de Vida;</span>​</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="13" data-aria-level="1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><span data-usefontface="true" data-contrast="none">Desconto em Farmácia;</span>​</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="14" data-aria-level="1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><span data-usefontface="true" data-contrast="none">Programa de Nutrição;</span>​</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="15" data-aria-level="1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;"><span data-usefontface="true" data-contrast="none">Programa de Gestantes;</span>​</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="16" data-aria-level="1"><span style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-usefontface="true" data-contrast="none">Licença Maternidade e Paternidade Estendida – empresa Cidadã.</span></li> </ul>