AI/ML Engineer

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