Senior Machine Learning Engineer

Alliant Insurance ServicesNew York, NY

About The Position

The Senior Machine Learning Engineer is responsible for designing and deploying machine learning models to revolutionize P&C insurance while also contributing to the creation of intelligent systems that enhance risk assessment, pricing, and overall decision-making.

Requirements

  • Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Five (5) or more years experience in machine learning in an insurance setting.
  • One (1) or more years experience with NVIDIA hardware and software ecosystems, particularly DGX A100 systems.
  • Knowledge of statistical modeling, data mining, and predictive modeling techniques.
  • Strong programming skills in Python, R, or Java, and familiarity with ML frameworks (TensorFlow, PyTorch).
  • Excellent problem-solving skills.
  • Strong communication skills.
  • Ability to effectively collaborate with cross-functional teams.

Nice To Haves

  • Master's Degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Responsibilities

  • Develops, trains, and optimizes machine learning models that support P&C insurance.
  • Collaborates with data engineers to build scalable, efficient data pipelines for model training and deployment.
  • Implements machine learning algorithms and frameworks compatible with NVIDIA DGX A100 infrastructure.
  • Conducts advanced data analysis and complex experiments with structured and unstructured data.
  • Collaborates with stakeholders to translate business requirements into technical solutions.
  • Stays current with the latest research and technology and communicates findings to the broader team.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service