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Open nowFirst seen 32 hours ago

Senior Machine Learning Engineer

Techifide3 open roles

Where
São Paulo, Brazil, Remote
Work mode
Remote
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Your applicationOpen nowSenior Machine Learning EngineerTechifide · São Paulo, Brazil, 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 Techifide's own form.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 32 hours ago

The posting

Future opportunities / Brazil / Remote

We're building our network of exceptional Senior Machine Learning Engineers based in Brazil for upcoming opportunities with international technology companies.

AI and machine learning engineering is currently one of the areas where we're seeing the highest demand from our clients. While this application is not tied to a specific open position, we're interviewing strong candidates now so that we can move quickly when suitable roles become available.

The opportunities we typically work on involve building production AI systems at scale, using advanced machine learning, large language models and intelligent automation to solve complex, real-world problems.

What you could be working on

  • Building and developing AI platforms involving search, retrieval and multi-agent orchestration.
  • Designing and implementing multi-agent architectures, defining how specialist agents interact to solve complex tasks.
  • Designing, building and optimising large-scale document processing pipelines, including ingestion, parsing, chunking, indexing and structured data extraction.
  • Improving search and retrieval capabilities through ranking, query understanding and AI-powered question answering.
  • Building and maintaining knowledge graphs and other graph-based systems to improve reasoning and retrieval.
  • Taking ownership of high-impact AI projects from concept and experimentation through to production.
  • Developing evaluation frameworks and experimentation processes to measure model performance and continuously improve quality.
  • Writing clean, scalable, production-ready code and contributing to strong engineering practices.

About you

We're interested in experienced engineers who enjoy solving difficult technical problems and turning AI research and experimentation into reliable production systems.

You'll ideally have:

  • 7+ years of experience designing, building and deploying production-grade machine learning or AI systems.
  • A proven ability to lead technically challenging projects with meaningful business impact.
  • Strong experience building LLM-powered applications, AI agents or orchestration frameworks.
  • Deep knowledge of document processing pipelines, including parsing, chunking, indexing and structured information extraction.
  • Experience working with distributed systems and technologies such as Kubernetes.
  • Knowledge of knowledge graphs, provenance graphs or similar graph-based data models.
  • Strong software engineering skills in Python, Go or similar languages.

Experience in one or more of the following areas is particularly relevant:

  • Search and ranking systems
  • Natural Language Processing (NLP)
  • Recommendation systems
  • Large-scale ML infrastructure

Experience within construction, engineering, AEC or other document-intensive industries is also valuable.

Why apply now?

We're interviewing engineers in Brazil now to build a shortlist for future international opportunities.

By completing our process in advance, we'll already understand your technical background, experience, English level and career goals. When a suitable opportunity becomes available, we can contact you directly and potentially move much faster through the hiring process.

If you're an experienced Machine Learning Engineer based in Brazil and interested in working remotely with international technology companies, we'd like to hear from you.

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