Ml Engineer - Data & Advanced Analytics

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. Specific responsibilities will include:

• 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.
• Design data pipelines and engineering infrastructure to support our enterprise machine learning systems
• Take offline models data scientists build and turn them into a real machine learning production system.
• Build and implement applications which makes use of AI/ML models
• Work with data scientists to ensure ML models are performing with-in 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
• Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc.
• Support data scientists with AI/ML model development and deployment with an emphasis on auditability, versioning, and data security.

Requirements

Bachelor’s Degree in Computer Science/Computer Engineering or equivalent years of experience.

• Expertise in Relational Databases, MySQL, In-Memory databases, NoSQL databases, AWS is a significant plus.
• 1-3 years of experience developing software applications.
• Experience using AI/ML platforms such as Sage Maker, SAS Viya or Dataiku to deploy Models is a significant plus but not required.
• Regular, predictable, full attendance is an essential function of the job.
• Experience in technologies, frameworks and architecture like Java or Python, Angular, React, Spring, Spring Boot, XML, JavaScript, JSON, Application Servers, CI/CD is required.
• Understanding of the full system development lifecycle.
• Experience in designing and building Web Applications, REST APIs is required.
• Ability to work in a team environment and seek guidance on tasks from senior developers and leads.
• Ability to identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems.

Must be a team player with Team First attitude. 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.

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.
• Develop and deploy scalable tools and services for our clients to handle machine learning training and inference.
• Regular, predictable, full attendance is an essential function of the job
• Experience customizing Conversation AI platforms is a plus.
• As part of Advanced Analytics team you will be responsible for implementation and operationalization of Self-Service AI Models.
• 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.
• Support model development, with an emphasis on auditability, versioning, and data security.
• Experience with Relational Databases, MySQL, In-Memory databases, NoSQL databases and writing SQL queries.
• Strong coding skills in languages like Python and software engineering best practices.
• Experience with AWS cloud technologies is a significant plus.
• Facilitate the development and deployment of proof-of-concept machine learning systems.
• Design data pipelines and engineering infrastructure to support our enterprise machine learning systems at scale is a significant plus
• Ability to work in a team environment and seek guidance on tasks from senior developers and leads.
• Take offline models data scientists build and turn them into a real machine learning production system.
• Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc. is a significant plus.
• Ability to identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems.
• Experience in designing and building REST APIs and Microservices is required.

Must be a team player with Team First attitude. 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.
• Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus.
• 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.

Penske is an Equal Opportunity Employer.

About Penske Truck Leasing

Penske Truck Leasing Co., L.P., headquartered in Reading, Pennsylvania, is a partnership of Penske Corporation, Penske Automotive Group and Mitsui & Co., Ltd. A leading global transportation services provider, Penske operates a premier fleet of vehicles and serves its customers from locations in North America, South America, Europe, Australia, and Asia. Penske’s product lines include full-service truck leasing, contract maintenance, commercial and consumer truck rentals, used truck sales, transportation and warehousing management and supply chain management solutions. Visit www.GoPenske.com to learn more.

Job Category: Information Technology

Job Family: Analytics & Intelligence

Address: 5401 West Kennedy Blvd Suite 700

Primary Location: US-FL-Tampa

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

Req ID: 2325742