Machine Learning Engineer

Aspen Central Group; Phoenix (AZ); On-site; USD 110,000 - 160,000; Full time

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, a prominent player in the insurance industry, is seeking a Machine Learning Engineer in Phoenix, AZ. This is a full-time position with a negotiable salary. The role is open until November 23, 2026.

In this role, you will develop and implement machine learning models to address complex business challenges. You will collaborate with cross-functional teams to deliver data-driven solutions that improve our products and services.

You will join our team in Phoenix, AZ, where you will have the opportunity to work in a collaborative and innovative environment. The workplace is located in the vibrant city of Phoenix, known for its diverse culture and outdoor activities.

The salary for this position is negotiable, reflecting the company's commitment to fair compensation and recognizing the value of the candidate's skills and experience. In addition to the base salary, employees are offered a comprehensive benefits package that includes health insurance, retirement plans, and professional development opportunities. The health insurance plan covers a range of medical services, including doctor visits, hospital stays, and prescription medications. The retirement plans provide employees with the opportunity to save for their future, with options such as a 401(k) plan or a pension scheme, depending on the company's structure. Professional development opportunities are also available, allowing employees to enhance their skills and advance their careers within the organization.

You should have a Master's degree in Computer Science, Machine Learning, or a related field. Experience with Python, TensorFlow, and PyTorch is required. Knowledge of cloud platforms like AWS or GCP is a plus.

What You Will Do:

• 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 to improve accuracy, performance, and scalability.
• Conduct thorough testing and validation of machine learning models to ensure their reliability and robustness.
• Stay up-to-date with the latest advancements in machine learning and AI, and apply this knowledge to our projects.
• Document and communicate the results of machine learning projects to stakeholders.

What You Bring:

• A Master's degree in Computer Science, Data Science, or a related field, or equivalent experience.
• Strong programming skills in Python, along with experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud, and experience with deploying machine learning models at scale.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team.
• A passion for solving complex business problems using machine learning and AI.