Product Artificial Intelligence – Engineer at Oshkosh Corporation in Pittsburgh, PA | USD68,600-106,300 | Kablio

Role

Description

model integration

cv parsing

data preparation

model development

model monitoring

team collaboration

Collaborate with product development teams to integrate AI models into scalable, production-ready systems.
Apply CV/OCR/layout parsing to extract dimensions, GD&T/tolerances, and BOM from drawings; validate against standards and flag inconsistencies.
Stay up to date on emerging AI technologies, frameworks, and best practices, and proactively propose applications that improve product capabilities.
Partner with product managers, UX/UI designers, and engineering teams to align AI features with user needs and business goals.
Collect, clean, and preprocess large datasets to support training and evaluation of AI models.
Monitor and refine AI and ML models to ensure reliability, accuracy, and efficiency in real-world use cases.
Design, build, and deploy machine learning and deep learning models to solve product-specific challenges (e.g., predictive analytics, optimization, computer vision, natural language processing).

Requirements

python

pytorch

tensorflow

aws

mlops

masters

Automotive or heavy duty on or off-road vehicle, digital data bus, including Ethernet or Controller Area Network (CAN) experiences a plus.
Regular attendance is required.
Ability to generate production-grade scripts and templates (e.g., Python/C#/JS) that automate CAD/PLM/CAE workflows, data cleansing, report generation, and dashboard scaffolding—complete with tests and linting.
Knowledge and Capability with deep learning framework (PyTorch or TensorFlow), plus LLM tooling (e.g., LangChain/LlamaIndex, vector stores, embeddings).
Experience with computer vision, NLP, reinforcement learning, or generative AI.
Knowledge of MLOps practices, including CI/CD for machine learning and monitoring model drift.
Non-Physical Demands: Frequent: Analysis/Reasoning, Communication/Interpretation, Math/Mental Computation, Reading, Sustained Mental Activity (i.e. auditing, problem solving, grant writing, composing reports), Writing.
Familiarity with cloud platforms (AWS, Azure, Coudera or GCP) for AI/ML model deployment.
Course project knowledge of mechanical drawings, CAD and product lifecycle management.
Experience with edge AI deployment or real-time inference in embedded systems.
Accredited Bachelor's degree in computer science, computer engineering, software engineering, or related field with Internship or Co-op experience with either artificial intelligence or machine learning applications.
Masters degree or higher in computer science, computer engineering, software engineering, data engineering or data science.

Benefits

Work Schedule: Routine shift hours. Infrequent overtime, weekend, or shift rotation.

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

1917

Year Established

The company was founded in 1917, marking its origins in Wisconsin.

Multi-billion-dollar

USPS NGDV Fleet Deal

Won a major contract to supply the USPS with next-generation delivery vehicles.

30+

Global Manufacturing Facilities

Operates over 30 facilities worldwide, supporting a vast production network.

150+

Countries Served

Products are distributed and used in more than 150 countries across the globe.

Built its reputation with ‘Old Betsy,’ a pioneering four‑wheel‑drive truck that still operates today.
Expanded into military trucks, aerial lifts, fire apparatus, airport rescue vehicles, refuse trucks and concrete mixers.
Structured into distinct segments—Defense, Access, Vocational (fire/emergency), and Commercial.
Major projects include supplying the U.S. military’s family of tactical vehicles, pioneering electric USPS mail trucks, autonomous garbage robots and airport fire engines.
Their patented TAK‑4 independent suspension and AI‑powered safety systems propel off‑road performance and operator protection.
Recent deals span electric fire trucks (Volterra series) and zero‑emission refuse vehicles.

Culture + Values

We are driven by our shared commitment to create superior customer value.
We act with integrity and uphold high ethical standards.
We embrace diversity of thought, experience, and perspective.
We continuously seek improvement in everything we do.
We prioritize safety in all aspects of our business.

Environment + Sustainability

2050

Net-Zero Emissions by 2050

Aims to achieve net-zero greenhouse gas emissions as part of its long-term sustainability goals.

Working to reduce carbon emissions in manufacturing operations.
Focuses on designing and producing environmentally responsible products.
Has set science-based targets for reducing its carbon footprint.
Promotes the use of renewable energy in its operations.

Inclusion & Diversity

Women: 29%

Workforce Representation

Reflects the proportion of women in the overall workforce, highlighting gender diversity within the company.

Women: 23%

Leadership Roles

Indicates the percentage of women in senior leadership positions, showcasing progress toward gender parity in management.

Committed to building a diverse workforce and fostering inclusive culture.
Goals for increasing underrepresented groups in leadership roles.
Supports initiatives to increase gender equality within its workforce.
Tracks and reports on workforce diversity metrics to ensure accountability.

Articles

Role

Description

model integration

cv parsing

data preparation

model development

model monitoring

team collaboration

Collaborate with product development teams to integrate AI models into scalable, production-ready systems.
Apply CV/OCR/layout parsing to extract dimensions, GD&T/tolerances, and BOM from drawings; validate against standards and flag inconsistencies.
Stay up to date on emerging AI technologies, frameworks, and best practices, and proactively propose applications that improve product capabilities.
Partner with product managers, UX/UI designers, and engineering teams to align AI features with user needs and business goals.
Collect, clean, and preprocess large datasets to support training and evaluation of AI models.
Monitor and refine AI and ML models to ensure reliability, accuracy, and efficiency in real-world use cases.
Design, build, and deploy machine learning and deep learning models to solve product-specific challenges (e.g., predictive analytics, optimization, computer vision, natural language processing).

Requirements

python

pytorch

tensorflow

aws

mlops

masters

Automotive or heavy duty on or off-road vehicle, digital data bus, including Ethernet or Controller Area Network (CAN) experiences a plus.
Regular attendance is required.
Ability to generate production-grade scripts and templates (e.g., Python/C#/JS) that automate CAD/PLM/CAE workflows, data cleansing, report generation, and dashboard scaffolding—complete with tests and linting.
Knowledge and Capability with deep learning framework (PyTorch or TensorFlow), plus LLM tooling (e.g., LangChain/LlamaIndex, vector stores, embeddings).
Experience with computer vision, NLP, reinforcement learning, or generative AI.
Knowledge of MLOps practices, including CI/CD for machine learning and monitoring model drift.
Non-Physical Demands: Frequent: Analysis/Reasoning, Communication/Interpretation, Math/Mental Computation, Reading, Sustained Mental Activity (i.e. auditing, problem solving, grant writing, composing reports), Writing.
Familiarity with cloud platforms (AWS, Azure, Coudera or GCP) for AI/ML model deployment.
Course project knowledge of mechanical drawings, CAD and product lifecycle management.
Experience with edge AI deployment or real-time inference in embedded systems.
Accredited Bachelor's degree in computer science, computer engineering, software engineering, or related field with Internship or Co-op experience with either artificial intelligence or machine learning applications.
Masters degree or higher in computer science, computer engineering, software engineering, data engineering or data science.

Benefits

Work Schedule: Routine shift hours. Infrequent overtime, weekend, or shift rotation.

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

1917

Year Established

The company was founded in 1917, marking its origins in Wisconsin.

Multi-billion-dollar

USPS NGDV Fleet Deal

Won a major contract to supply the USPS with next-generation delivery vehicles.

30+

Global Manufacturing Facilities

Operates over 30 facilities worldwide, supporting a vast production network.

150+

Countries Served

Products are distributed and used in more than 150 countries across the globe.

Built its reputation with ‘Old Betsy,’ a pioneering four‑wheel‑drive truck that still operates today.
Expanded into military trucks, aerial lifts, fire apparatus, airport rescue vehicles, refuse trucks and concrete mixers.
Structured into distinct segments—Defense, Access, Vocational (fire/emergency), and Commercial.
Major projects include supplying the U.S. military’s family of tactical vehicles, pioneering electric USPS mail trucks, autonomous garbage robots and airport fire engines.
Their patented TAK‑4 independent suspension and AI‑powered safety systems propel off‑road performance and operator protection.
Recent deals span electric fire trucks (Volterra series) and zero‑emission refuse vehicles.