Five Acts logo
Five Acts

Inspiring people through data.

Machine Learning Engineer – Focus on Registration Data and MDM

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 51-200Since 2005H1B No SponsorCompany SiteLinkedIn

Location

Brazil

Posted

92 days ago

Salary

0

Seniority

Senior

Job Description

Machine Learning Engineer – Focus on Registration Data and MDM

Five Acts

• Define and implement AI and Machine Learning solutions for the analysis of registration data; • Develop anomaly detection mechanisms for registration/master data; • Monitor relevant events such as corporate changes, CNAE (Brazilian National Classification of Economic Activities), and company size; • Create generative AI solutions to recommend business rules and support data governance; • Integrate models and solutions with MDM (Master Data Management) platforms; • Build data pipelines and services to support inference in production; • Collaborate with business teams to identify opportunities and translate problems into technical solutions; • Ensure quality, scalability, and governance of implemented solutions.

Job Requirements

  • Experience with Python and developing data or Machine Learning solutions;
  • Practical hands-on experience applying Machine Learning (beyond theory);
  • Experience in data engineering (ETL/ELT, pipelines, structured data handling);
  • Knowledge of language models and generative AI (LLMs);
  • Experience with cloud environments (Azure, AWS, or GCP);
  • Familiarity with APIs and deploying models to production.

Benefits

  • Meal and food vouchers (Swile)
  • Flexible credit for home-office allowance (Swile)
  • Up to 100% coverage for health and dental plans
  • Group life insurance
  • Remote work
  • Mental health coverage - online and in-person psychotherapy
  • Support for certifications and courses
  • Partnership for postgraduate and MBA courses (Esalq/USP)
  • Partnerships with language schools
  • Partnerships with gyms and wellness apps (Wellhub)
  • Internal talks and discussion sessions
  • Referral bonus
  • Happy hours
  • Gifts on special occasions

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