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# Senior AI Engineer Insurance Domain & Data Background

- **Company:** Innovative Technical Solutions, Inc.
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Apache Hadoop, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, SQL Databases, Management of Software Versions, Google Cloud, Cloud Platform System, Feature Engineering, Pytorch, Apache Spark, Deep Learning, Scikit Learn, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** August 9, 2026
- **Apply:** https://www.wayup.com/i-j-Senior-AI-Engineer-Insurance-Domain-Data-Background-INNOVATIVE-TECH-SOLUTIONS-INC-559063725473101/

## About the Role

5+ years of experience in AI/ML engineering with a strong focus on data science and modeling
Demonstrated experience in the insurance industry (underwriting, claims, actuarial, or policy management)
Proficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Experience with big data technologies such as Spark, Hadoop, or cloud-based data platforms (AWS, Azure, GCP)
Strong understanding of MLOps practices including model deployment, versioning, and monitoring
Excellent communication skills with the ability to present complex AI concepts to non-technical stakeholders
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field

## Description

Innovative Tech Solutions Inc is looking for a talented Senior AI Engineer with a strong insurance domain and data background to join our growing team in Philadelphia, PA. This is an exciting opportunity to leverage cutting-edge artificial intelligence and machine learning to transform the insurance industry. If you're passionate about building intelligent systems that make a real impact, we want to hear from you!
Responsibilities:
Design, develop, and deploy AI/ML models tailored to insurance domain use cases such as underwriting, claims processing, and risk assessment
Collaborate with data engineers and business stakeholders to build robust data pipelines and feature engineering workflows
Lead end-to-end machine learning lifecycle including model training, validation, deployment, and monitoring
Apply NLP, predictive analytics, and deep learning techniques to solve complex insurance business problems
Translate insurance domain knowledge into actionable AI-driven solutions and insights
Mentor junior engineers and contribute to best practices in AI/ML development
Partner with cross-functional teams to integrate AI solutions into existing insurance platforms and workflows


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