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Open nowPosted 39 hours ago

Data Science | Machine Learning | Senior (Remoto)

Invillia

Where
Remote
Work mode
Remote
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Your applicationOpen nowData Science | Machine Learning | Senior (Remoto)Invillia · Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Invillia's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 39 hours ago

The posting

.Responsabilidades e atribuiçõesProver soluções técnicas para novas funcionalidades e realizar suporte às funcionalidades já existentes;Desenhar e detalhar soluções de machine learning e dados para atender às necessidades do negócio;Desenvolver modelos preditivos e algoritmos de machine learning para resolver problemas complexos de negócio;Conduzir atividades de exploração, preparação e análise de dados, desde a concepção até a validação dos modelos;Interpretar resultados e gerar insights com foco em impacto mensurável para o negócio;Desenvolver e definir as principais perguntas de negócio e criar conjuntos de dados capazes de respondê-las;Implementar, ajustar e otimizar plataformas de dados e soluções baseadas em streaming e processamento distribuído;Atuar no design, desenvolvimento e operação de soluções utilizando serviços AWS Analytics e Machine Learning;Aplicar técnicas de aprendizado supervisionado, não supervisionado e deep learning conforme a necessidade dos projetos;Utilizar ferramentas de experimentação, versionamento e monitoramento de modelos para garantir a qualidade das entregas.

Requisitos e qualificações Habilidade em lógica de programação;Experiência em desenho e detalhamento de soluções;Experiência prática com Python;Experiência prática em aprendizado de máquina (Machine Learning);Conhecimento em processamento de linguagem natural (NLP) e/ou visão computacional;Experiência com serviços AWS Analytics e Machine Learning, como Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena e Amazon SageMaker;Experiência em implementação de plataformas de dados;Vivência prática em implementação e ajuste de desempenho de soluções utilizando Kinesis, Kafka, Spark e/ou Storm;Experiência em design, desenvolvimento e operações utilizando Amazon Kinesis, Apache Kafka, Apache Spark, Amazon SageMaker, Amazon EMR, tecnologias NoSQL e soluções de terceiros;Experiência com uma ou mais ferramentas como TensorFlow, PyTorch, Scikit-learn, Flink, Spark, Sqoop, Flume, Kafka e Amazon Kinesis;Conhecimento em bibliotecas e ferramentas para ciência de dados como Scikit-learn, XGBoost, LightGBM, Statsmodels, SciPy, Jupyter, Databricks e MLflow;Capacidade de atuar com resiliência em ambientes dinâmicos;Habilidade para gestão de dependências e alinhamento entre times.

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