Data Scientist – Mlops
| Company | Brown Brothers Harriman |
|---|---|
| Location | Philadelphia, PA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Mid Level, Senior |
Requirements
- Fluent in Python
- Familiarity with software engineering principles, including unit testing and version control (e.g., Git)
- Familiarity with Linux-based environments and scripting for automation
- Experience monitoring ML models in production, including logging, metrics, and alerting
- Experience in working with Kubernetes
- Experience with Microsoft Azure; nice to have experience deploying ML solutions in cloud environments (e.g., Microsoft Azure, AWS, or GCP)
- Knowledge and experience with Vector DBs
- Understanding and experience in working with CI/CD tools
- ML/data libraries: Pandas, NumPy, scikit-learn, PyTorch, NLTK, etc.
- Knowledge of machine learning techniques and model lifecycle management
- Knowledge of methods and techniques for explaining decisions of ML models
- Minimum of 3 years of experience in a data science, data engineering, ML engineering or MLOps engineering role
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field
Responsibilities
- Collaborate with Data Scientists, MLOps engineers and business stakeholders to understand requirements and translate them into scalable data and ML solutions
- Design, build and maintain robust data pipelines for ML model training and inference using structured and unstructured data of various scale
- Develop and maintain production-ready code for training, serving, and monitoring machine learning models
- Implement CI/CD pipelines deployment and retraining workflows
- Ensure reproducibility and traceability of ML experiments using versioning and metadata tools
- Monitor performance and health of deployed models
Preferred Qualifications
-
No preferred qualifications provided.