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AI/ML Engineering Intern (MS/PhD New Grad)
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The role
This internship focuses on building and deploying large-scale AI systems for real-time decisioning.
Work closely with engineers to design and maintain high-throughput data pipelines using Spark, Kafka, or Flink.
Process real-time signals into shared intelligence and design backend services that support scalable ML model scoring.
Contribute to AI applications and agentic workflows leveraging modern LLMs, with experimentation in NLP interfaces and automated strategy generation.
Deploy and monitor pipelines for supervised and unsupervised models while upholding privacy-first design through tokenization and hashing.
Ideal candidates are MS/PhD students or recent graduates with strong Python skills and interest in distributed systems, ML, data engineering, or backend development, with mentorship opportunities.
Work closely with engineers to design and maintain high-throughput data pipelines using Spark, Kafka, or Flink.
Process real-time signals into shared intelligence and design backend services that support scalable ML model scoring.
Contribute to AI applications and agentic workflows leveraging modern LLMs, with experimentation in NLP interfaces and automated strategy generation.
Deploy and monitor pipelines for supervised and unsupervised models while upholding privacy-first design through tokenization and hashing.
Ideal candidates are MS/PhD students or recent graduates with strong Python skills and interest in distributed systems, ML, data engineering, or backend development, with mentorship opportunities.
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