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# AI/ML Engineer

- **Company:** INFT Solutions inc
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Data Cleansing, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Standard Sql, Azure Machine Learning, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Model Validation, Generative AI, Pandas, Scikit Learn, Kubernetes, Machine Learning Operations, Docker
- **Published:** September 15, 2026
- **Apply:** https://www.dice.com/job-detail/fa3640f1-75d0-4e69-acc9-0f7480135cc1

## About the Role

* 7+ years of experience in AI/ML Engineering, Machine Learning, or Data Science.
 * Strong experience with Python and ML libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.
 * Experience with Machine Learning algorithms, predictive modeling, and statistical techniques.
 * Experience with data preprocessing, feature engineering, and model evaluation.
 * Knowledge of ML deployment, APIs, and MLOps concepts.
 * Experience working with SQL and databases.
 * Good understanding of cloud platforms such as AWS, Azure, or Google Cloud Platform.
 * Strong Insurance domain experience is required.

Insurance Domain Experience

Experience with one or more of the following is preferred:

 * Property & Casualty (P&C)
 * Life Insurance
 * Health Insurance
 * Claims Processing
 * Underwriting
 * Risk Assessment
 * Fraud Detection
 * Policy Management
 * Premium/Pricing Analytics
 * Customer/Agent Analytics

Preferred Skills

 * Experience with Generative AI / LLMs / NLP.
 * Knowledge of MLOps and CI/CD.
 * Experience with Docker/Kubernetes.
 * Experience with cloud-based AI/ML services.
 * Strong communication and problem-solving skills.

## Description

We are looking for an AI/ML Engineer with strong Insurance domain experience to design, develop, and deploy machine learning and AI solutions for insurance-related business problems. The candidate will work with business and technical teams to build predictive models, automate processes, analyze insurance data, and improve decision-making., * Develop and implement Machine Learning and AI models for insurance use cases.

 * Work with large and complex insurance datasets to identify patterns and insights.
 * Build predictive models for areas such as claims, underwriting, risk assessment, fraud detection, and customer analytics.
 * Perform data preprocessing, feature engineering, model training, evaluation, and optimization.
 * Develop and maintain ML pipelines for model deployment and monitoring.
 * Collaborate with Data Scientists, Data Engineers, Business Analysts, and Insurance SMEs.
 * Deploy AI/ML solutions into production environments and troubleshoot model-related issues.
 * Apply NLP, Generative AI, or other AI techniques where applicable.
 * Ensure models are scalable, reliable, and aligned with business requirements.
 * Document models, processes, and technical solutions.


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