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AI/ML Engineer

Remote, USA Full-time Posted 2026-06-13

• This is a Remote Role Requirements:

  • Master's Degree or Ph.D. in STEM with 2+ years preferred OR Bachelor’s Degree in STEM with 7+ years.
  • Experience in predictive modeling, data science, machine learning, or user and entity behavior analytic development.
  • Experience in developing predictive, prescriptive, optimization, and forecasting models, including the use of contemporary techniques such as and not limited to support vector machines, neural networks, and gradient boosting.
  • Experience in developing of Generative AI solution with LLM and custom model to provide AI solution to business.
  • Experience in interpreting results from statistical and mathematical models.
  • A minimum of two years’ experience in applying Data Science/ Analytics to Health Insurance/Health Care related problems/use cases.
  • At least 1 years focused on applications of Generative AI solution.
  • Experience in programming languages like Java, Python and/or R for complex data manipulation, statistical analysis, and machine learning.
  • Experience in Analytic development with streaming and a Hadoop ecosystem (Hive, Spark, etc.)
  • Experience in SQL, NoSQL, graph-based, Key/Value stores, document stores.
  • Experience with cloud base data platform like Snowflake and use trainin/build model.
  • Experience with one or more cloud services (AWS Sagemaker, MS Azure)
  • Experience applying machine learning to real-world production systems, analytic development based on SparkML and other ML libraries.
  • Experience in advanced data visualizations and interpretation using data visualization tools is plus (e.g., Tableau, Power BI).
  • Familiarity with common Linux/Unix command line tasks and version control software like git or svn preferable.
  • Using and developing statistical analysis, modeling, simulation, and machine learning methods.
  • Comfort with complex mathematical concepts and models.
  • Experience with Agile Methodology/Scrum Development and DevOps
  • History of solving difficult problems using a scientific approach highly preferred
  • Ability to communicate and present the work effectively and influence others
  • * Ability to work in a fast paced environment and shift gears quickly

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