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Patterned Learning Ai Jobs in New Jersey (NOW HIRING)

Prudential

Lead, Machine Learning Engineer

Newark, NJ

$107K - $141K/yr

... patterns, general understanding of computer architecture, Object-oriented programming concepts ... AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision ...

Everest

AI / Machine Learning Engineering Lead

Warren, NJ · Hybrid

$180K - $220K/yr

Analyze large datasets to extract meaningful insights and patterns. Validate AI models against ... Machine Learning: Proficiency in machine learning algorithms and techniques. Experience with ...

Apptad, Inc.

AI Architect

Hoboken, NJ · On-site

AI & Machine Learning: Mastery of deep learning frameworks like PyTorch or TensorFlow , large ... patterns * Designing data models * Tracking model performance, managing inference costs, and ...

Pwc

AI Engineer

Florham Park, NJ · On-site

$50K - $112K/yr

... 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 ...

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All JobsPatterned Learning Ai JobsPatterned Learning Ai Jobs in New Jersey

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 are popular job titles related to Patterned Learning Ai jobs in New Jersey?

For Patterned Learning Ai jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Patterned Learning Ai jobs in New Jersey look for?

The top searched job categories for Patterned Learning Ai jobs in New Jersey are:

Patterned Learning Ai jobs near you

Product Manager - AI Platform

Harrisonville, NJ • On-site

Keysight Technologies, Inc.
Electrical Equipment, Appliance, and Component Manufacturing • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

50th of 159 rated electronics manufacturers

People enjoy working here

Good employer

Recommended by parents

Learn more about Keysight Technologies, Inc.external

Full-time

Re-posted 13 days ago

Job description

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Keysight is hiring an Expert Product Manager to own the AI Platform within Software & AI Labs. The AI Platform is the internal foundation on which Keysight's AI and Machine Learning (AI/ML) solutions are built, enabling teams to develop, deploy, monitor, and scale models, LLM-based applications, Generative AI (GenAI) solutions, and AI Agents with speed, consistency, and scale

This is a expert individual contributor role operating at the center of AI Labs. The successful candidate will drive cross-organizational adoption of the AI Platform as a shared service, partnering with platform engineering, model development, business units, and application teams to standardize how AI is built, validated, packaged, and deployed across Keysight. The role begins with internal enablement as the primary mandate; scaling the platform into customer-facing capability is a future-state objective, not a day-one deliverable.


Responsibilities

Platform Strategy & Ownership

  • Define and own the vision, roadmap, and success metrics for the AI Platform
  • Establish the AI Platform as the standard framework for AI model lifecycle execution across Keysight
  • Sequence the platform's evolution from internal enablement tool toward eventual customer-facing capability

Cross-Organization Alignment (Platform as a Service)

  • Drive adoption of the AI Platform across business units as a shared service model
  • Represent platform strategy to global stakeholders, including engineering leaders, business unit GMs, and solution owners
  • Translate solution-specific needs into scalable, reusable platform capabilities
  • Enforce a platform-first approach, reducing one-off implementations and fragmentation

Product Definition & Execution

  • Own definition and delivery of core platform capabilities across the AI lifecycle (data preparation, training, validation, packaging, deployment)
  • Define APIs and integration patterns across instruments, automation frameworks, and software systems
  • Partner with engineering to deliver high-quality, scalable capabilities on committed timelines
  • Define what constitutes a production-ready AI deliverable and establish clear handoff points from central AI teams to business units

Customer & Solution Integration

  • Partner with product and solution teams to align customer use cases to platform capabilities
  • Ensure workflows are production-ready and reusable across solutions
  • Prepare the platform for future integration into commercial offerings

Metrics & Outcomes

  • Define, track, and drive improvement in adoption and impact metrics, including:
    • Number of AI solutions built on the platform
    • Reduction in model development-to-deployment cycle time
    • Percentage of AI work executed on-platform vs. off-platform
    • Internal user satisfaction and time-to-first-model for new teams

Qualifications
  • Bachelor's degree or above in Engineering, Computer Science, or related field
  • 7+ years of product management experience, with demonstrated ownership of platform or infrastructure products
  • Proven ability to define and scale platforms and end-to-end products across multiple stakeholder groups
  • Experience driving cross-organizational alignment and adoption at scale
  • Familiarity with the Electronic Test & Measurement industry
  • Independent professional who operates effectively with broad direction

Preferred Qualifications

  • Experience with AI/ML platforms, MLOps platforms, data infrastructure, Machine Learning Operations (MLOps), Generative AI (GenAI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, or AI development frameworks.
  • Familiarity with RF, Test & Measurement, hardware-integrated systems, engineering software, automation workflows, semiconductor, or telecommunications environments
  • Experience scaling internal platforms into customer-facing products
  • Ability to translate technical systems into clear business value

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Qualifications:
  • Bachelor's degree or above in Engineering, Computer Science, or related field
  • 7+ years of product management experience, with demonstrated ownership of platform or infrastructure products
  • Proven ability to define and scale platforms and end-to-end products across multiple stakeholder groups
  • Experience driving cross-organizational alignment and adoption at scale
  • Familiarity with the Electronic Test & Measurement industry
  • Independent professional who operates effectively with broad direction

Preferred Qualifications

  • Experience with AI/ML platforms, MLOps platforms, data infrastructure, Machine Learning Operations (MLOps), Generative AI (GenAI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, or AI development frameworks.
  • Familiarity with RF, Test & Measurement, hardware-integrated systems, engineering software, automation workflows, semiconductor, or telecommunications environments
  • Experience scaling internal platforms into customer-facing products
  • Ability to translate technical systems into clear business value

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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