Requirements:

• Strong experience in applied Machine Learning, model evaluation, and production deployment.
• Proficiency in Python and ML frameworks such as scikit-learn, PyTorch, TensorFlow, Hugging Face, or equivalents.
• Solid understanding of NLP, embeddings, information retrieval, classification, and model evaluation techniques.
• Experience building ML pipelines, managing datasets, and versioning models and experiments.
• Strong knowledge of ML concepts such as overfitting, drift, bias, validation, and performance metrics.
• Experience deploying models using cloud platforms, APIs, containers, and modern infrastructure practices.
• Familiarity with MLOps tools and workflows for scalable model operations.
• Awareness of security, privacy, governance, and traceability in AI systems.

Differentials:

• Experience with LLMOps practices such as RAG evaluation, LLM-as-a-judge, and AI observability.
• Knowledge of model optimization techniques such as fine-tuning, LoRA, quantization, and inference optimization.
• Experience with tools like MLflow, Kubeflow, BentoML, Ray, vLLM, Triton, or cloud ML platforms (AWS, GCP, Azure ML, Vertex AI, SageMaker).
• Familiarity with vector databases, hybrid search, reranking systems, and retrieval-augmented pipelines.
• Experience working with open-source and proprietary LLM providers and model comparison strategies.
• Experience in regulated environments requiring explainability, auditing, and model governance.

Soft Skills:

• Strong analytical thinking and problem-solving mindset.
• Proactive, experimental, and pragmatic approach to engineering challenges.
• Strong communication skills with both technical and non-technical stakeholders.
• Ability to work collaboratively in agile, cross-functional teams.
• Structured thinking, curiosity, and continuous improvement mindset.
• Ability to balance experimentation with production reliability.

Benefits:

• Cooperative contract model.
• Fully remote work model (Anywhere Office).
• BYOD support for device acquisition and usage.
• Home office allowance via flexible benefits card.
• Wellness package including TotalPass and health platforms (WellHub, Avus, Starbem, Dasa+ Saúde).
• Additional benefits such as temporary incapacity daily allowance, benefits club, and birthday day off.
• Training programs and certification support for professional development.