Senior Machine Learning Engineer I

Senior Machine Learning Engineer I

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field – or equivalent practical experience.
• 2+ years of experience in software engineering, data science, or machine learning roles.

Responsibilities

• Design, build, and deploy machine learning models that solve practical business problems in Pricing, Underwriting, and Claims.
• Collaborate with ML engineers, data scientists, and business stakeholders to translate requirements into well-scoped technical solutions.
• Contribute to the development and maintenance of deployment pipelines, ensuring models are robust, reproducible, and scalable.
• Write clean, efficient, and well-documented Python code using tools like pandas, numpy, and pydantic.
• Participate in code reviews, testing, and validation to ensure model quality and reliability in production.
• Learn and apply modern ML tools and frameworks such as Transformers and MLflow.
• Engage in team discussions with a growth mindset, sharing ideas, asking questions, and learning from feedback.

Preferred Qualifications

• Proficiency in Python and familiarity with core data science libraries (e.g., pandas, numpy, polars, scikit-learn).
• Hands-on experience with Azure.
• Understanding of MLOps concepts such as version control (Git), CI/CD, and containerization (Docker).
• Experience with model validation, monitoring, and performance tracking.
• Familiarity with software engineering best practices, including unit testing and clean code principles.
• Experience working with DevOps pipelines for automating ML workflows and deployments.
• Familiarity with Infrastructure as Code (IaC) using Terraform to manage cloud resources.
• Strong communication and collaboration skills; comfortable working in a team environment.
• Eagerness to learn and improve continuously – technically and professionally.