ML Engineer – Insurance AI Innovator (Phoenix)

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Phoenix (AZ)

On-site

USD 110,000 - 160,000

Full time

7 days ago
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Benefits offered by this job

Health insurance
Retirement plans
Professional development opportunities

Job summary

Aspen Central Group in Phoenix, AZ is seeking a Machine Learning Engineer to develop and deploy models addressing business challenges for insurance products. You will collaborate with data scientists, software engineers, and product managers to translate requirements into technical solutions.

You will optimize models, validate them thoroughly, and stay current with ML/AI advancements, communicating results to stakeholders across teams.

Qualifications

  • Master's degree in Computer Science, Data Science, or a related field.
  • Experience with Python and ML libraries such as TensorFlow and PyTorch.
  • Knowledge of cloud platforms (AWS, Azure, Google Cloud).
  • Experience with data preprocessing, feature engineering, and model evaluation.

Responsibilities

  • Develop and deploy machine learning models to improve our insurance products and services.
  • Collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
  • Optimize existing machine learning models for accuracy, performance, and scalability.
  • Conduct thorough testing and validation of machine learning models to ensure reliability and robustness.
  • Stay up-to-date with latest ML/AI advancements and apply them to projects.
  • Document and communicate results to stakeholders.

Skills

Cross-functional collaboration
Communication skills

Education

Master's degree in Computer Science or Data Science or related field

Tools

Python
TensorFlow
PyTorch
scikit-learn
AWS
Azure / Google Cloud

Job description

Aspen Central Group in Phoenix, AZ is seeking a Machine Learning Engineer to develop and deploy models addressing business challenges for insurance products. You will collaborate with data scientists, software engineers, and product managers to translate requirements into technical solutions.

You will optimize models, validate them thoroughly, and stay current with ML/AI advancements, communicating results to stakeholders across teams.

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