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AIML Engineer

INFT Solutions Inc


Job Location:

Jersey, NJ - USA

Monthly Salary: Not provided by the employer
Posted: 16 September 2026 (5 days ago)
Application Deadline: 14 December 2026
Vacancies: 1 Vacancy

Job Summary

Job Summary

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.

Key Responsibilities
  • 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.
Required Skills
  • 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 GCP.
  • 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.