Machine Learning Engineer
HybridTampa, Florida, United States
Job Summary
Monitor model performance pre- and post-deployment, develop pipelines to collect and aggregate data, and work with CI/CD pipelines to create and deploy artifacts. Refactor code for efficiency in scaled environments and creatively design analytical solutions using quantitative and qualitative approaches. Develop documentation articulating methodology, architecture, and data dictionaries while effectively communicating processes to internal parties. Requires strong Python skills, cloud-based experience (Azure preferred), and 2+ years of experience. This role reports to the Senior Director of AI and Machine Learning within the Research & Development team.
Required Qualifications
- basic knowledge of Data Science methods
- strong, applied knowledge of Python
- SQL
- Experience deploying models in cloud-based environments
- Candidates must have the legal right to work in the country where the position is based
- This is a hybrid position, working in the office 3 days a week
- Strong knowledge with Python, including experience building custom packages
- 2+ Years Experience
- Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, or a field with a quantitative and technical emphasis required
Desired Qualifications
- Experience deploying models in cloud-based environments
- Experience with Scala or Spark
- Some cloud-based experience
- Azure
- Ability to manage multiple projects independently
- Working knowledge of statistics, machine learning and deep-learning algorithms
- Graduate degree
- supplementary courses in Data Science, Data Engineering or Machine Learning
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