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nlp docker python kubernetes mlops

๐Ÿ“‹ Description

  • Design, train, and evaluate DL/ML/GenAI models (LLMs, diffusion).
  • Build and maintain ML pipelines for continuous training and real-time/batch inference using MLOps.
  • Collaborate with backend/frontend teams to integrate AI models into microservices with low latency.
  • Architect scalable data pipelines for preprocessing, vectorizing, and ingestion of large datasets.
  • Implement evaluation for alignment, bias, guardrails, and latency/cost optimization.
  • Provide technical leadership, code reviews, and mentor engineers on ML best practices.

๐ŸŽฏ Requirements

  • 6+ years deploying ML/AI in production
  • Proficient in Python
  • Experience building RAG solutions
  • Experience with vector databases
  • Passion for ML/AI products
  • Strong communication and organizational skills

๐ŸŽ Benefits

  • Healthcare coverage (medical/dental/vision)
  • Equity via discretionary RSUs
  • Generous PTO and parental leave
  • 401K with up to 3% matching
  • Monthly tech allowance
  • Well-being perks and community events
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