| Company |
Vanguard |
| Job title |
AI/ML Engineer |
| Job location |
Malvern, PA, US |
| Type |
Full Time |
Responsibilities:
- Design and implement robust pipelines to deploy machine learning models into production environments.
- Build and optimize scalable infrastructure for machine learning workflows, including data preprocessing, model training, and inference.
- Optimize models for latency, accuracy, and efficiency in real-world scenarios.
- Work closely with data scientists to transition research models into production-grade solutions.
- Develop and maintain automated workflows for version control, model monitoring, and retraining.
- Collaborate with data engineering teams to ensure efficient data pipelines and availability of high-quality datasets.
- Build tools to streamline machine learning development and deployment processes.
- Ensure deployed solutions adhere to responsible AI principles, focusing on safety.
Requirements & Skills:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or AI-related fields
- Proficiency in Python and frameworks such as Tensorflow, PyTorch, or Scikit-learn.
- Experience deploying ML models in cloud environments like AWS, GCP, or Azure
- Familiarity with containerization tools (e.g., Docker) and orchestration frameworks (e.g., Kubernetes)
- Expertise in MLOps tools and practices, including CI/CD pipelines, model versioning, and monitoring
- Strong understanding of distributed systems and scaling machine learning workflows
- Solid knowledge of machine learning algorithms, model training, and evaluation techniques
- Experience working with NLP, computer vision, or generative AI models is a plus
- Ability to work in cross-functional teams and communicate effectively with data scientists, engineers, and business stakeholders.
- Strong debugging and problem-solving skills to address technical challenges in deployment environments.
