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ML Engineer - Data & Advanced Analytics - Reading Pennsylvania
Company: Penske Truck Leasing Location: Reading, Pennsylvania
Posted On: 04/25/2024
Position Summary: As the Machine Learning Engineer working in Penske's Advanced Analytics team, you will be in a high impact role. You will be supporting multiple businesses and functions within Penske with their data science initiatives. You will play a key role in maturing the AI/ML Ops at Penske organization. This is a great opportunity for someone who has some machine learning experience or planning to switch to machine learning as a career choice. Responsibilities As part of Penske's Advanced Analytics team you will be responsible for implementation and operationalization of AI/ML models. You will work with other machine learning engineers, data scientists, software engineers and platform engineers to ensure success of the AI/ML implementations at Penske. Major Responsibilities: - Support data scientists with AI/ML model development and deployment with an emphasis on auditability, versioning, and data security.
- Build and implement applications which makes use of AI/ML models
- Work with data scientists to ensure ML models are performing within the expected ranges of accuracy
- Lead Self Service AI (SSAI) initiatives by supporting the citizen data scientists across Penske
- Support AI/ML platforms like Sage Maker, SAS Viya or Dataiku
- Design data pipelines and engineering infrastructure to support our enterprise machine learning systems
- Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc.
- Facilitate the development and deployment of proof-of-concept machine learning systems.
- Develop and deploy scalable tools and services for our clients to handle machine learning training and inference.
- Take offline models data scientists build and turn them into a real machine learning production system.
- Experience in technologies, frameworks and architecture like Java or Python, Angular, React, Spring, Spring Boot, XML, JavaScript, JSON, Application Servers, CI/CD is required.
- Experience using AI/ML platforms such as Sage Maker, SAS Viya or Dataiku to deploy Models is a significant plus but not required.
- Ability to identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems.
- Understanding of the full system development lifecycle.
- Other projects/tasks as assigned.
Penske Qualifications: - Bachelor's Degree in Computer Science/Computer Engineering or equivalent years of experience.
- 1-3 years of experience developing software applications and exposure to Machine Learning
- Experience in technologies, frameworks, architecture, and design patterns.
- Strong coding skills in languages like Python and software engineering best practices.
- Experience in designing and building REST APIs and Microservices is required.
- Experience with Relational Databases, MySQL, In-Memory databases, NoSQL databases and writing SQL queries.
- Experience with AWS cloud technologies is a significant plus.
- Understanding of Machine Learning concepts, MLOps and experience using AI/ML platforms such as Dataiku, Sage Maker, or SAS Viya is a plus but not required.
- As part of Advanced Analytics team you will be responsible for implementation and operationalization of Self-Service AI Models.
- Experience customizing Conversation AI platforms is a plus.
- Ability to identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems.
- Design data pipelines and engineering infrastructure to support our enterprise machine learning systems at scale is a significant plus
- Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc. is a significant plus.
- Support model development, with an emphasis on auditability, versioning, and data security.
- Facilitate the development and deployment of proof-of-concept machine learning systems.
- Develop and deploy scalable tools and services for our clients to handle machine learning training and inference.
- Take offline models data scientists build and turn them into a real machine learning production system.
- Ability to work in a team environment and seek guidance on tasks from senior developers and leads.
- Regular, predictable, full attendance is an essential function of the job. Must be willing and able to contribute to brainstorming sessions in a meaningful way.
- Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required.
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