Senior AI Engineer Insurance Domain & Data Background
INNOVATIVE TECH SOLUTIONS INC
Philadelphia, PA, United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$93,600.0 - $114,400.0
Working hours
Regular working hours
Job source
Tech stack
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
+9 more
Cloud Platform System
Feature Engineering
Pytorch
Apache Spark
Deep Learning
Scikit Learn
Information Technology
Machine Learning Operations
Data Pipelines
Job 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!, * 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
Requirements
- 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
Benefits & conditions
- Competitive salary
- Employee discounts
- Health insurance
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