Job Title: AI/ML Engineer
Location: Washington, DC (Candidates local to DC, MD or VA only)
Duration: 12 Months+
Notes:
AI/ML Engineers with GenAI, AWS Sagemaker
1 year GenAI experience is must have
Snowflake experience is preferable
Responsibilities:
* 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.
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 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).
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