Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Join Allstate Technology Solutions, a pioneering force in the insurance industry with over 90 years of experience, as a Senior Machine Learning Engineer. This role offers an exciting opportunity to work at the intersection of insurance and cutting-edge technology, with a focus on artificial intelligence and machine learning.
As a Senior Machine Learning Engineer, you'll be part of a dynamic team revolutionizing how employees, agencies, and customers interact digitally. The position requires expertise in applying machine learning algorithms and principles, with a particular emphasis on generative AI applications. You'll work on complex modeling projects, either independently or collaboratively, while also mentoring junior engineers.
The role demands strong technical skills, including 3+ years of experience with programming languages like Python and Java, and extensive knowledge of machine learning frameworks such as PyTorch, TensorFlow, and Scikit-learn. You'll be responsible for the entire ML lifecycle - from model development to deployment in cloud services.
Allstate offers a competitive salary range of $112,000 to $196,750 annually, based on experience and qualifications. The position is fully remote, providing flexibility while working with a collaborative team focused on innovation and pushing technological boundaries.
This is an excellent opportunity for someone with a strong quantitative background (Bachelor's or Master's in Computer Science, Mathematics, or related field) who wants to make a significant impact in a Fortune 500 company. You'll be at the forefront of implementing AI solutions that enhance customer experience and operational efficiency.
The ideal candidate will have experience in deep learning, natural language processing, or computer vision, with additional expertise in cloud services (AWS, Azure, GCP) being a plus. You'll work in an environment that embraces innovation, encourages challenging the status quo, and provides opportunities to impact the future of insurance technology.
Responsibilities For Senior Machine Learning Engineer
- Solve business problems using latest ML techniques and tools
- Guide junior engineers
- Develop and deploy ML models across entire lifecycle
- Work independently or collaboratively on complex machine learning projects
- Model development and deployment in cloud services
- Model tuning and optimization
Requirements For Senior Machine Learning Engineer
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or another quantitative major
- 3+ years of experience in programming languages like Python, Java, or C++
- 3+ years of experience using machine learning frameworks like PyTorch, TensorFlow, or Scikit-learn
- Experience applying machine learning algorithms and principles
- Ability to navigate decisions between traditional modeling and GenAI
- Ability to collaborate effectively with product managers, engineers, and business leaders
- Experience mentoring junior engineers
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