ML Engineer
Our Client, who is a Series-A funded startup, is seeking a fully-remote ML Engineer to join their fast-growth team. Duties:Develop and deploy AI agents to solve real-world problemsDesign and implement robust systems to enhance AI agent decision-making and ensure reliable interactionCreate and optimize pipelines for model deployment, monitoring, and scaling in production environmentsEnhance retrieval-augmented generation (RAG) systems for context-aware AI agent responsesRequirements:MS/PhD in Computer Science, Machine Learning, Artificial Intelligence or a related field5+ years of experience in machine learning, with a focus on building production-ready systemsProficiency in Python and strong experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorchExperience in deploying and scaling AI/ML models using cloud services such as AWSStrong expertise in agent architectures, reinforcement learning, or other systems built on top of LLMsFamiliarity with retrieval-augmented generation (RAG) techniques and integration of external knowledge bases or APIs into AI agents
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