ML Engineer - Data & Advanced Analytics
Company: Penske Truck Leasing
Location: Reading
Posted on: April 23, 2024
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
Keywords: Penske Truck Leasing, Reading , ML Engineer - Data & Advanced Analytics, Other , Reading, Pennsylvania
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