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Data Science (Machine Learning - ML) | PL (Remote)

Role overview

Qualifications

  • Experience in developing Computer Vision solutions
  • Experience with AWS SageMaker for deployment and management of Machine Learning models
  • Expertise in Machine Learning applied to business problems
  • Proficiency in Python for developing Machine Learning models

Responsibilities

  • Design, develop, and implement computer vision and machine learning solutions, working with classification, segmentation, and object detection
  • Develop predictive models and machine learning algorithms to solve complex business problems, focusing on data exploration, validation, and interpretation of results
  • Utilize Python (Scikit-learn, XGBoost, LightGBM), notebooks (Jupyter, Databricks), experimentation tools (MLflow), and statistical libraries (Statsmodels, SciPy)
  • Apply supervised, unsupervised, and deep learning techniques as needed

About the company

Compass.uol logo

Compass.uol

Digital Transformation Consulting

Compasso UOL is a Brazilian technology company owned by the UOL Group, which offers technology services, and provides state-of-the-art solutions, contributing to the digital transformation of its customers so they can become leaders in its sectors of activity. Compasso UOL is a company that cultivates people's talent and use state-of-the-art technologies such as Agile Development, Multicloud, Data&Analytics, Cyber Security, Artificial Intelligence/Machine Learning, APIs/Microservices, IoT and others, providing technology and knowledge that help customers in building digital solutions that enable the transformation and evolution of their business.

Company details

Company typeXLarge
IndustryDigital Transformation Consulting
Company size5001 - 10000

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Job description

JOB DESCRIPTION


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RESPONSIBILITIES AND ASSIGNMENTS


  • Responsável por projetar, desenvolver e implementar soluções de visão computacional e machine learning, atuando com classificação, segmentação e detecção de objetos;
  • Desenvolver modelos preditivos e algoritmos de machine learning para resolver problemas complexos de negócio, conduzindo desde a exploração de dados até a validação e interpretação de resultados com foco em impacto mensurável;
  • Utilizar Python (Scikit-learn, XGBoost, LightGBM), notebooks (Jupyter, Databricks), ferramentas de experimentação (MLflow) e bibliotecas estatísticas (Statsmodels, SciPy);
  • Aplicar técnicas supervisionadas, não supervisionadas e deep learning conforme a necessidade;
  • Integração a APIs de modelos de linguagem (LLMs);

REQUIREMENTS AND QUALIFICATIONS


  • Experiência em desenvolvimento de soluções de Visão Computacional;
  • Experiência com AWS SageMaker para mplantação e gerenciamento de modelos de Machine Learning;
  • Experiência com Machine Learning aplicado a problemas de negócio;
  • Experiência na integração de aplicações com APIs de Modelos de Linguagem (LLMs);
  • Domínio de Python para desenvolvimento de modelos de Machine Learning.
  • Desejavel experiência com as bibliotecas: Scikit-learn, XGBoost, LightGBM;
  • Experiência com Jupyter Notebook / Databricks;
  • Conhecimento em MLflow para experimentação e gerenciamento de modelos;
  • Experiência em desenvolvimento de modelos preditivos;
  • Conhecimento em técnicas de Machine Learning supervisionado, não supervisionado e Deep Learning;

Become a Compasser, be part of AI/R.


Compass UOL is a global firm and part of the AI Revolution Company, together transforming organizations using Artificial Intelligence, Generative AI, and other of today’s most advanced technologies.


We equip our team with proprietary and external AI-driven tools to design and build digital-native platforms, integrating cutting-edge technologies and enabling companies to innovate, transform their businesses, and drive success in their markets.

To achieve this, we attract and develop the best talent, creating opportunities that enhance people’s lives and highlight the positive impact of disruptive technologies.

We empower borderless talent and promote knowledge and opportunities in the latest market trends, driving significant personal and professional growth.

Join us and be part of the AI-driven revolution.


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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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