AI & ML Engineer

Elite Technical is seeking an AI/ML Engineer to improve our client's claim processing, provider prediction, and automation that reducing human intervention process. This position is a long term contract, and hybrid (onsite meetings occur 1-3x per month in either Wash DC, Canton MD or Washington DC)

Responsibility:

• Develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions.
• Provide the team with a deep understanding of their data, what it all means, and how they can use it.
• Help with discovering the information hidden in vast amounts of data, and help with making smarter decisions to deliver even better products.
• Applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with products.
• Development new ML model(s) as well as maintaining existing ones and their processes.
• Development Gen AI solution using AI platform like AWS Segamaker, AWS Bedrock, AWS AgentCore.
• Select features, building and optimizing classifiers using machine learning techniques, data mining using state-of-the-art methods, and, enhancing data collection procedures to include information that is relevant for building analytic systems.
• Responsibilities will also include processing, cleansing, and verifying the integrity of data used for analysis and doing ad-hoc analysis and presenting results in a clear manner.
• Creating automated anomaly detection systems and constant tracking of its performance. Required Skills
• Master's Degree or Ph.D. in STEM with 2+ years preferred OR Bachelor-s Degree in STEM with 7+ years.
• At least 1 years focused on applications of Generative AI solution.
• 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.
• 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 training/build model.
• Experience applying machine learning to real-world production systems, analytic development based on SparkML and other ML libraries.
• 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 Nice to haves:
• AWS Bedrock, AWS AgentCore
• Healthcare Payor Insurance industry exp