Ml Engineer - Data & Advanced Analytics

Job Description:

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.

Physical Requirements:

• The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• The associate will be required to:
  read;
  communicate verbally and/or in written form;
  remember and analyze certain information;
  and remember and understand certain instructions or guidelines.
• While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg.
• Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus.

Penske is an Equal Opportunity Employer.

Job Category:
Information Technology

Job Family:
Analytics &
Intelligence

Address:
100 Gundy Drive

Primary Location:
US-PA-Reading

Employer:
Penske Truck Leasing Co., L.P.

Req ID:
2401219