• Job Description

  Req#: 9082cd74-d3ba-485f-a140-a2cd1a07178d

  We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

  With over 7.400 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

  
  

  Responsibilities:

  Data Pipeline Development

  Design, build, and maintain robust data pipelines specifically for product documentation systems

  Implement ETL processes to extract valuable insights from technical documentation

  Ensure data quality, integrity, and accessibility for AI model training and deployment

  
  

  Machine Learning Implementation

  Develop and deploy machine learning models to automate and enhance documentation workflows

  Create intelligent classification and recommendation systems for technical content

  Apply natural language processing techniques to improve documentation searchability and relevance

  
  

  Technical Support & Integration

  Provide specialized technical implementation support across AI initiatives

  Collaborate with engineering teams to integrate AI solutions into existing systems

  Troubleshoot complex data and model issues in production environments

  
  

  Continuous Improvement

  Monitor model performance and implement refinements based on feedback

  Stay current with emerging AI and machine learning technologies

  Contribute to best practices for AI implementation across the organization

  
  

  Requirements for this challenge:

  Solid experience in data science, machine learning, or related field

  Strong programming skills in Python and experience with data processing frameworks

  Proven experience building and deploying machine learning models in production

  Familiarity with NLP techniques and documentation systems

  Experience with data pipeline development and management

  Bachelor's degree in Computer Science, Data Science, Statistics, or related field

  Experience with cloud-based ML platforms (AWS, Azure, GCP)

  Knowledge of containerization and orchestration tools (Docker, Kubernetes)

  Understanding of DevOps practices for ML workflows (MLOps)

  Experience working with large document repositories or knowledge management systems

  Familiarity with AI governance and responsible AI principles

  
  

  
  

  
  

  #LI-JP3

  
  

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  Our benefits:

  
  

  -Health and dental insurance

  -Meal and food allowance

  -Childcare assistance

  -Extended paternity leave

  -Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;

  - Profit Sharing and Results Participation (PLR);

  -Life insurance

  - Continuous learning platform (CI&T University);

  -Discount club

  -Free online platform dedicated to physical, mental, and overall well-being

  -Pregnancy and responsible parenting course

  -Partnerships with online learning platforms

  -Language learning platform

  And many more!

  
  

  More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

  
  

  At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

  
  

  We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.

• About the company

  CI&T is an information technology and software engineering company.

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