ML Engineer - Data & Advanced Analytics
Company: Penske Logistics
Location: Reading
Posted on: April 18, 2024
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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 Date posted: 04/18/2024
Keywords: Penske Logistics, Reading , ML Engineer - Data & Advanced Analytics, Professions , Reading, Pennsylvania
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