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Principal Data Scientist - Remote / Telecommute

Principal Data Scientist - Remote / Telecommute

Cynet SystemsMinneapolis, MN
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Job Description :

  • Lead end-to-end training and fine-tuning of Large Language Models LLMs, including both open-source e.g., Qwen, LLaMA, Mistral and closed-source (e.g., OpenAI, Gemini, Anthropic) ecosystems.
  • Architect and implement GraphRAG pipelines, including knowledge graph representation and retrieval for enhanced contextual grounding.
  • Build and scale distributed training environments using NCCL and InfiniBand for multi-GPU and multi-node training.
  • Apply reinforcement learning techniques (e.g., RLHF, RLAIF) to align model behavior with human preferences and domain-specific goals.

Qualifications :

  • PhD or Master’s degree in Computer Science, Machine Learning, or related field.
  • 8+ years of experience in applied AIML, with a strong track record of delivering production-grade models.
  • LLM training and fine-tuning (e.g., GPT, LLaMA, Mistral, Qwen).
  • Graph-based retrieval systems (GraphRAG, knowledge graphs).
  • Embedding models (e.g., BGE, E5, SimCSE).
  • Semantic search and vector databases (e.g., FAISS, Weaviate, Milvus).
  • Document segmentation and preprocessing (OCR, layout parsing).
  • Distributed training frameworks (NCCL, Horovod, DeepSpeed).
  • High-performance networking (InfiniBand, RDMA).
  • Model fusion and ensemble techniques (stacking, boosting, gating).
  • Optimization algorithms (Bayesian, Particle Swarm, Genetic Algorithms).
  • Symbolic AI and rule-based systems.
  • Meta-learning and Mixture of Experts architectures.
  • Reinforcement learning (e.g., RLHF, PPO, DPO).

    • Must Have :

  • PhD or Master's degree in Machine Learning / Data Science.
  • Multi-model agents.
  • Experience with text-to-image, image-to-text, speech-to-text.
  • Published papers in Machine Learning / Data Science journals.
  • Medical background project.

    • Bonus Skills :

  • Experience with healthcare data and medical coding systems (e.g., CPT, CM, PCS).
  • Familiarity with regulatory and compliance frameworks in AI deployment.
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    Principal Data Scientist • Minneapolis, MN