AI/ML Engineer
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The role
Design, build, and deploy production-grade AI/ML systems that bridge data science and operations.
Productionize models, including deep learning and GenAI, by containerizing and deploying them at scale.
Develop GenAI workflows with LLMs using LangChain/LlamaIndex, focusing on prompt engineering and RAG architectures.
Automate CI/CD, model versioning (DVC), monitoring, and retraining pipelines with MLOps tools.
Architect scalable, secure AI infrastructure on AWS, Azure, or GCP, and collaborate on ETL, data preprocessing, and feature engineering.
Ensure Responsible AI through bias auditing, Explainable AI practices, and compliance with ethical guidelines.
Productionize models, including deep learning and GenAI, by containerizing and deploying them at scale.
Develop GenAI workflows with LLMs using LangChain/LlamaIndex, focusing on prompt engineering and RAG architectures.
Automate CI/CD, model versioning (DVC), monitoring, and retraining pipelines with MLOps tools.
Architect scalable, secure AI infrastructure on AWS, Azure, or GCP, and collaborate on ETL, data preprocessing, and feature engineering.
Ensure Responsible AI through bias auditing, Explainable AI practices, and compliance with ethical guidelines.
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