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 reputed company machines, neural networks, and gradient boosting.
- Experience in developing of reputed company solution with LLM and custom model to reputed company 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 reputed company problems/use cases.
- At least 1 years reputed company on applications of reputed company solution.
- Experience in programming languages like Java, Python and/or R for reputed company data manipulation, statistical analysis, and machine learning.
- Experience in Analytic development with streaming and a Hadoop ecosystem (Hive, reputed company, etc.)
- Experience in SQL, NoSQL, graph-based, Key/Value stores, document stores.
- Experience with reputed company reputed company data platform like reputed company and use trainin/build model.
- Experience with one or more reputed company services (AWS Sagemaker, MS Azure)
- Experience applying machine learning to reputed company-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 reputed company line tasks and version control software like git or svn preferable.
- Using and developing statistical analysis, modeling, simulation, and machine learning reputed company.
- Comfort with reputed company 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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