Role overview
Senior Machine Learning Engineer
Reports To: Vice President of Data Science
Location: Chicago, Illinois
What you'll work on
- Develop and implement models and simulations that leverage statistics, data science, and machine learning technologies without our brokerage, that impact metrics, and streamline network operations.
- Identify new opportunities to drive business impact through data exploration and collaboration with key stakeholders.
- Conduct a root cause analysis to identify the key drivers influencing operational performance and variance in outcomes.
- Develop and optimize MLOps pipelines for speed, reliability, and observability.
- Collaborate with cross-functional teams, including software engineers, data scientists, business stakeholders, and product teams, to gather inputs, assumptions, and understand business processes along the way.
What we're looking for
- MS or PhD in Computer Science, Data Science, Applied Mathematics, Physics, or equivalent work experience.
- 3+ years of experience applying Machine Learning/MLOps to solve business problems.
- Proficient in leveraging Azure or AWS to deploy scalable machine learning algorithms into production
- Hands-on experience with open-source languages and tooling for large-scale ML (e.g., Ray, Flink, Feast).
- Experience working with Data Warehouses and ETL pipelines (e.g., Redshift, Databricks, Snowflake, Airflow).
- Strong Python and SQL skills
- Experience with Data Science and/or Machine Learning in supply chain, logistics, transportation, or a similar space is a plus.
- Ability to communicate with technical and non-technical stakeholders is a plus.
Tags & focus areas
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