Senior Machine Learning Engineer job description at ServiceNow: analyze data, train/test/deploy/maintain complex ML/AI/GenAI models, build ML/AI enabled application on the ServiceNow platform.
Requirements
- Typically requires a minimum of 5 years of related experience.
- Strong analytical skills with a focus on data-driven decision making.
- Proficiency in Python and familiarity with its ecosystem of data science and machine learning libraries.
- Demonstrated experience delivering scalable machine learning, deep learning, or generative AI solutions.
- Solid understanding of MLOps practices, ideally with hands-on experience using Azure ML services.
- Experience working with modern data platforms such as Snowflake.
- Ability to quickly learn and apply new technologies, including the ServiceNow platform.
- Strong grasp of software design and integration patterns, data modeling principles, and industry best practices.
- A proven track record of successfully delivering complex, cross-functional projects.
- Excellent debugging, testing, and problem-solving capabilities.
Benefits
- Base pay of $158,500 - $269,500, plus equity (when applicable), variable/incentive compensation and benefits.
- Health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.