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Machine Learning Engineer

Bull SAS Monções, São Paulo, Brazil

IT Services and IT Consulting · 1,001-5,000 employees

12 h ago
machine-learning Mid (2-5 yrs) Full-time Brazil
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About the role

You will be responsible for training and optimizing machine learning models while building robust data and inference pipelines. Additionally, you will integrate LLMs through APIs and perform fine-tuning and prompt engineering to drive continuous model improvement.

What they look for

Python LLMs GenAI MLOps RAG Machine Learning PyTorch TensorFlow Scikit-learn Transformers Docker Linux SQL NoSQL APIs Kubernetes

Requirements

Candidates must have at least 4 years of experience with Python and possess a bachelor's degree in Computer Science, Software Engineering, or a related field. Proficiency in English and a strong technical background in machine learning frameworks and MLOps are required.

Full description

About Bull

Bull is a story. One with a century of European innovation and a working environment where experts design powerful, sustainable, and sovereign digital solutions, enabling states and industries to retain full control over their data and their AI.

Bull is also thousands of engineers, researchers and passionate tech people shaping the future of high‑performance computing, AI, and quantum technologies.

Every day, our teams push the boundaries of what is technologically possible – from next‑generation HPC architectures to exascale supercomputers – supported by world‑class R&D, more than 1,600 patents, and unique end‑to‑end capabilities spanning hardware design, software engineering, data science and quantum research.

We are a people‑centric, innovation‑driven company, where collaboration spans Europe, the Americas and India. We share a common vision of a responsible and sustainable innovation that delivers concrete impact for our customers.

Ready to build what’s next in AI?

We’re looking for a talented Senior Machine Learning Engineer @ Brazil who loves turning complex AI ideas into real-world solutions.

If Python, LLMs, GenAI, MLOps, RAG, and Machine Learning are your playground, this could be your next exciting challenge!

You’ll work on: 🤖 Training and optimizing ML models

  • Building data and inference pipelines
  • Integrating ML models and LLMs through APIs
  • LLM fine-tuning and prompt engineering
  • Model evaluation and continuous improvement

Your toolkit:

Python | LLMs | PyTorch | TensorFlow | Scikit-learn | Transformers | Docker | Linux | SQL/NoSQL | APIs | MLOps

Great to have:

RAG | Vector Databases | Kubernetes | LLM Fine-tuning | ML Observability

If you have 4+ years of Python experience and enjoy turning AI ideas into real-world solutions, we’d like to connect.

🎓 Education Bachelor’s degree in Computer Science, Software Engineering, or a related field, with intermediate to advanced English proficiency.

Enjoy taking models beyond experimentation and turning them into meaningful solutions? We want to hear from you!

#GenerativeAI #LLM #Python #MLOps #RAG #WeAreBull #BullAIDestiny

Build. Experiment. Optimize. Innovate.

Here, your ideas, your curiosity and your technical excellence directly shape the next era of advanced computing - unlocking enterprise value, accelerating scientific progress and driving positive impact for society.

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