AI/ML Engineer
• 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
Apply tot his job
Apply To this Job
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
Apply tot his job
Apply To this Job