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Patterned Learning Ai Jobs in Pennsylvania (NOW HIRING)

Experience as a Product Manager for AI-enabled, generative AI, LLM-based, machine-learning, or agentic products. * Working knowledge of generative AI application patterns and secure enterprise ...

Experience as a Product Manager for AI-enabled, generative AI, LLM-based, machine-learning, or agentic products. * Working knowledge of generative AI application patterns and secure enterprise ...

... learning libraries like Scikit-Learn for data analysis - Engaging in complex data analysis and pattern recognition - Implementing AI solutions using open-source software - Applying natural language ...

... learning libraries like Scikit-Learn for data analysis - Engaging in complex data analysis and pattern recognition - Implementing AI solutions using open-source software - Applying natural language ...

AI Modeler

Malvern, PA · On-site

$140K - $160K/yr

... patterns: ground truth datasets, accuracy measurement, regression testing for model outputs • ... machine learning to Amazon Bedrock Foundation Models. The work directly impacts operational ...

Apply sound software engineering and design patterns when integrating AI-assisted capabilities ... The Data Empowered Learning team is primarily located on campus at University Park, and this ...

Document repeatable patterns, standards, and playbooks that improve the consistency and scalability ... Partner with the Learning Center team and Marketing & Communications to develop and distribute ...

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Patterned Learning Ai information

What is patterned learning AI?

Patterned Learning AI refers to artificial intelligence systems designed to recognize, learn from, and replicate patterns in data. These systems use algorithms to identify trends, correlations, and structures within large datasets, enabling them to make predictions or automate decision-making processes. Patterned Learning AI is commonly used in fields like image recognition, natural language processing, and predictive analytics. Its applications help businesses and researchers uncover hidden insights, streamline operations, and improve accuracy in various tasks.

What are some typical challenges faced by patterned learning AI professionals in implementing AI-driven solutions within organizations?

Patterned Learning AI professionals often encounter challenges such as integrating AI models with existing legacy systems, ensuring high-quality and representative training data, and aligning AI solutions with specific business objectives. Collaboration across multidisciplinary teams—including data scientists, software engineers, and business stakeholders—is essential for successful deployment. Additionally, professionals must stay updated on evolving AI technologies and best practices to maintain model accuracy and address ethical considerations.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (especially Python), and a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as familiarity with cloud computing platforms and data management tools, is essential. Excellent problem-solving skills, creativity, and clear communication are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies are vital for developing reliable AI systems that solve real-world problems and drive innovation.

What is the difference between Patterned Learning Ai vs Data Scientist?

AspectPatterned Learning AiData Scientist
Required CredentialsTypically requires machine learning, AI, or computer science degrees; certifications in AI toolsRequires degrees in statistics, computer science, or related fields; often certifications in data analysis
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed by AI-focused organizations developing intelligent systemsEmployed across industries for data analysis, predictive modeling, and decision support

Patterned Learning Ai primarily focuses on developing AI models and algorithms, often requiring specialized technical skills. Data Scientists analyze data to extract insights and inform business decisions. While both roles involve data and machine learning, Patterned Learning Ai is more centered on creating AI systems, whereas Data Scientists interpret data for strategic purposes.

What cities in Pennsylvania are hiring for Patterned Learning Ai jobs?

Cities in Pennsylvania with the most Patterned Learning Ai job openings:

Infographic showing various Patterned Learning Ai job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Product Manager - AI

Berkadia

Ambler, PA • Hybrid

Full-time

Posted 4 days ago


Job description

Are you looking for an opportunity to make an impact and shape the future of the commercial real estate (CRE) industry?

The Product Manager, AI will help shape and scale Berkadia's standalone AI application into an enterprise platform that enables business units to design, configure, and deploy secure, governed AI-enabled workflows. 

This role will partner closely with business subject-matter experts, engineering, data, machine learning, and enterprise technology teams to translate business needs into scalable AI product capabilities. The Product Manager will help establish the reusable platform components, tools, workflows, guardrails, data-access patterns, and user experiences that empower business teams to self-serve within a controlled framework. 

The ideal candidate combines strong product-management discipline with technical fluency in generative AI, large language models (LLMs), agentic systems, enterprise integrations, and software delivery. They can communicate effectively with both technical teams and business stakeholders, understand the lifecycle of AI-enabled products, and guide the delivery of practical solutions that improve Berkadia's investment sales, mortgage banking, loan servicing, and corporate workflows. 

Innovation meets excellence at Berkadia, where we give you the space you need to create and allow your ideas to flourish. We are leading the evolution of CRE, and can't do that without innovators who are driven by curiosity and are willing to challenge the status quo as they chart their career path - and Berkadia's future. Be Part of Building the Next. Be Berkadia.

We Innovate to shape the future of CRE, so in this role you will:

Responsibilities: 

  • Champion and reinforce the vision, strategy, and roadmap, and operating model for an enterprise AI platform.
  • Strong analytical and problem-solving skills, with the ability to synthesize business, technical, user, and operational inputs into clear product decisions.
  • Demonstrated experience managing a software product in an enterprise environment from discovery through release and ongoing iteration.
  • Experience as a Product Manager for AI-enabled, generative AI, LLM-based, machine-learning, or agentic products.
  • Working knowledge of generative AI application patterns and secure enterprise integration, including prompt engineering, retrieval-augmented generation, tool calling, workflow orchestration, model evaluation, agentic systems, APIs, tool frameworks, and governed access to enterprise data and systems.
  • Experience partnering with data scientists, machine-learning engineers, software engineers, solution architects, and business subject-matter experts.
  • Familiarity with both traditional machine-learning concepts and modern LLM-based product development is preferred.
  • Strong understanding of SDLC and Agile methodologies, including backlog management, iterative delivery, release planning, and cross-functional collaboration.
  • Ability to work effectively in a fast-moving environment with ambiguity, competing priorities, and evolving AI technologies.
  • Strong written, verbal, facilitation, and stakeholder-management skills. 

We Stand for Excellence, so to achieve success in this role you should have:

Requirements:

  • Bachelor's degree or equivalent practical experience.
  • 5+ years of product-management experience, including responsibility for delivering software products in an enterprise environment.
  • 2+ years of experience working on AI-specific products or capabilities, such as generative AI applications, LLM-enabled products, AI agents, machine-learning products, or intelligent workflow automation.
  • Prior hands-on technical experience in software engineering, data, analytics, machine learning, AI application development, or a related technical field is strongly preferred.
  • Experience working with internal enterprise users and translating complex business processes into scalable digital-product experiences.
  • Experience supporting products that integrate with CRM, workflow, data, or other enterprise platforms is preferred. 

We believe People Matter, so we offer benefits that go beyond:

  • Monthly paid volunteer hours and donation matching to benefit our communities 
  • Employee Resource Groups that help you grow with us
  • Fertility and family planning services  
  • Up to 12-weeks of fully paid parental leave   
  • Mental health care, including free counseling sessions:  
  • We'll help fund your learning journey with generous tuition reimbursement 
  • Pet insurance discounts 
  • And more! 

Be Part of Building the Next. Be Berkadia. 

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