Highly Experienced AI Model Deployer

Há 2 dias


Brasília DF, Brasil beBeeMachineLearning Tempo inteiro

Machine Learning Engineer Position We are currently seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will have expertise in designing, training, fine-tuning, and deploying ML/LLM models for production environments. A strong background in retrieval-augmented generation (RAG) pipelines using vector databases and frameworks such as LangChain, LangGraph, and MCP is required. The selected candidate should possess experience with prompt engineering, optimization, and safety techniques for agentic LLM interactions. Collaboration with data engineering teams to maintain data pipelines for ML workloads is essential. Familiarity with feature engineering and embeddings generation on structured and unstructured data is necessary. The successful candidate will have a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field, with at least 3 years of experience building and deploying ML systems. About the Role: We're looking for an experienced Machine Learning Engineer to develop and deploy cutting-edge ML/LLM models that power autonomous exception resolution, anomaly detection, and explainable insights. Key Responsibilities: Design, train, fine-tune, and deploy ML/LLM models for production environments. Develop RAG pipelines using vector databases and frameworks like LangChain, LangGraph, and MCP. Implement prompt engineering, optimization, and safety techniques for agentic LLM interactions. Collaborate with data engineering teams to maintain data pipelines for ML workloads. Conduct feature engineering and embeddings generation on structured and unstructured data.



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