Machine Learning Engineer – Focus on Registration Data and MDM

Job not on LinkedIn

🕒 April 22

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 76%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Five Acts

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2005

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Five Acts is a company specialized in building and evolving data platforms using modern technologies and cloud architecture. Through their accelerators and processes, they create data products that deliver value swiftly for businesses. Five Acts focuses on data engineering, analytical intelligence, and machine learning to help companies harness the power of their data, transforming it into actionable insights. With over 300 clients and a strong track record of completed projects, Five Acts is dedicated to helping organizations improve through effective data strategies.

📋 Description

• 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.

🎯 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