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(Senior) AI / ML Engineer

Prudentia Sciences · Hybrid (New York, New York, US)

The role

Prudentia Sciences is hiring a Senior AI/ML Engineer to design and deploy production-grade LLM systems, knowledge graphs, and ML pipelines for life sciences investment decisions. The role involves full-stack AI engineering, data engineering collaboration, and MLOps, with a preference for hybrid work in Boston, San Francisco, or New York City, but open to fully remote in the U.S. for exceptional talent.

Location
Hybrid (New York, New York, US)
Work mode
Hybrid
Level
Mid

What we know that the posting doesn’t say

  • Seen 4 days agostill listed on the employer’s careers page
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Key skills

  • llm
  • langchain
  • langgraph
  • rag
  • knowledge graphs
  • python
  • git
  • github
  • ci/cd
  • etl
  • relational databases
  • non-relational databases
  • snowflake
  • databricks
  • apache spark
  • apache airflow
  • aws
  • gcp
  • azure
  • docker
  • kubernetes
  • mlops
  • nlp
  • transformer architectures

ML/AI Engineer We’re looking for a driven, hands-on ML/AI Engineer to help us push the boundaries of what's possible in AI-driven drug development. You’ll work on production-grade LLM-based systems, knowledge graphs, and machine learning pipelines—turning prototypes into powerful tools that make a…

Extracted from the employer’s posting. Read it in full on Prudentia Sciences’s careers page

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