Pessoa Engenheira de Machine Learning Sênior
New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonCloud ComputingMachine LearningPyTorchTensorflowNLPMLOps
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.
Responsibilities
- Design, develop, evaluate, and operationalize machine learning models and AI components for production environments.
- Build and maintain pipelines for training, experimentation, validation, versioning, deployment, and monitoring of ML models.
- Work with embeddings, rerankers, NLP models, classification systems, and retrieval-based architectures.
- Implement and evolve MLOps and LLMOps practices to ensure scalable and reliable model lifecycle management.
- Monitor model performance across dimensions such as accuracy, latency, cost, drift, and stability.
- Support strategies for fine-tuning, prompt optimization, dataset curation, fallback mechanisms, and inference optimization.
- Define and implement evaluation frameworks, metrics, and testing strategies for production-grade AI systems.
- Collaborate with engineering, data, and platform teams to integrate ML models into APIs, services, and applications.
- Document experiments, technical decisions, and reusable standards for model development and deployment.
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