Phaxis

Phaxis

Senior AI ML Engineer - NLP/LLM Focused

New York, New York · Senior

Sponsorship not specified$150k-$200kDetected 22 days ago
PythonAlgorithmsSQLMachine LearningDeep LearningData AnalysisData ScienceNLPLLMsRAGStatisticsForecastingResearchLeadershipCommunicationActuarial ScienceUnderwriting

About the role

  • This role is responsible for finding key data patterns and turning them into insights by using predictive modeling, data mining, ML algorithms, and models.
  • The key to this role is someone that has created customized NLP solutions and not just using off the shelf products.
  • Must also have Tree Models and Rag experience.

Responsibilities

  • Collaborate cross-functionally to drive scalability and impact of the solutions.

Requirements

  • Experience in areas like classification models, forecasting, uplift modeling, foundational model fine-tuning, etc. help.
  • Master's degree in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or related disciplines.
  • NLP and natural language understanding expertise.
  • 2+ years of experience working with NLP and LLM.
  • Expertise in Python, SQL and with data science and data analytics packages.
  • Experience with developing and industrializing scalable AI solutions from conception to delivery.
  • Expertise working in cloud services using big data solutions.
  • Proven ability to understand, cleanse, and integrate massive data sets and demonstrate knowledge with data modeling workflow.
  • Required Professional and Technical Expertise:

Nice to have

  • Masters in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or related areas.
  • Experience in risk industry such as insurance, handling underwriting, claims, or risk management.
  • Knowledge of actuarial science.

Compensation

  • $150k-$200k

Benefits

  • Design, develop, and deploy solutions with best practices in statistics, ML, deep learning, and models.
  • 5+ years' experience with data science/machine learning techniques (logistic regression, hierarchical regression, neural networks, etc.).
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