Machine Learning Engineer – Specialist
| Company | Vanguard |
|---|---|
| Location | Malvern, PA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- Proficiency and excellent understanding of the AWS cloud platform and services, including but not limited to AWS Sage Maker, AWS Lambda, S3 buckets, Step Functions, EMR, Glue, and other services that support building machine learning platforms.
- Excellent understanding of the machine learning development cycle, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations.
- Proficient in software development and well-versed with developer tools such as, but not limited to, Python, VS Code, and Jupiter Notebooks.
- Demonstrate knowledge of AWS security practices, including IAM, S3 bucket policies, security groups, and VPCs.
- Understand best practices for model training, deployment, and operations, including hyperparameter optimization, model evaluation, and operationalizing ML solutions.
- Utilize popular Python frameworks such as TensorFlow, PySpark, PyTorch, and Pandas.
- Leverage software design patterns to develop modular, maintainable, and scalable code.
Responsibilities
- Leverages data pipeline designs and supports the development of data pipelines to support model development. Proficient with software tools that develop data pipelines in a distributed computing environment (PySprak, GlueETL).
- Supports integration of model pipelines in a production environment. Develops understanding of SDLC for model production.
- Reviews pipeline designs, makes data model design changes as needed. Documents and reviews design changes with data science teams.
- Supports data discovery & automated ingestion for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs.
- Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities.
- Runs model monitoring scripts, follows process for alerts to management as needed. Addresses issues found in data pipelines from model monitoring alerts.
- Participates in special projects and performs other duties as assigned.
Preferred Qualifications
- If you have experience in other engineering disciplines similar to machine learning, please apply.
- Minimum of 2-5 years of related work experience in Machine Learning.