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Patterned Learning Ai Jobs in Dallas, TX (NOW HIRING)

Build and maintain reusable AI components and patterns (e.g., RAG, prompt templates, embeddings ... learning to improve processes and procedures, proactively shares learning with colleagues and ...

Build and maintain reusable AI components and patterns (e.g., RAG, prompt templates, embeddings ... learning to improve processes and procedures, proactively shares learning with colleagues and ...

Build and maintain reusable AI components and patterns (e.g., RAG, prompt templates, embeddings ... learning to improve processes and procedures, proactively shares learning with colleagues and ...

Build and maintain reusable AI components and patterns (e.g., RAG, prompt templates, embeddings ... learning to improve processes and procedures, proactively shares learning with colleagues and ...

Build and maintain reusable AI components and patterns (e.g., RAG, prompt templates, embeddings ... learning to improve processes and procedures, proactively shares learning with colleagues and ...

Showing results 41-60

Patterned Learning Ai information

See Dallas, TX salary details

$26

$40

$68

How much do patterned learning ai jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for patterned learning ai in Dallas, TX is $40.26, according to ZipRecruiter salary data. Most workers in this role earn between $29.23 and $52.31 per hour, depending on experience, location, and employer.

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 near Dallas, TX are hiring for Patterned Learning Ai jobs?

Cities near Dallas, TX with the most Patterned Learning Ai job openings:

Sr Enterprise AI Developer

CosmoProf

Plano, TX

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


CosmoProf rating

5.3

Company rating: 5.3 out of 10

Based on 116 frontline employees who took The Breakroom Quiz

27th of 42 rated hair and beauty


Job description

Sr. Enterprise AI Developer

This is a hybrid position that requires working from our Legacy West Support Center in Plano, Texas.

About Sally Beauty Holdings, Inc.

At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling and distributing professional beauty supplies across 11 countries through our Sally Beauty and Beauty Systems Group businesses. Sally Beauty offers products for hair color, hair care, nails, and skin care to retail customers looking for salon quality products at a value price. Beauty Systems Group, branded as Cosmo Prof or Armstrong McCall stores, along with its direct sales consultants, sell professionally branded products intended for use and resale by salons to retail consumers.

About the role

The Senior Enterprise AI Developer is a hands-on technical role responsible for designing, developing, and delivering AI-enabled solutions that drive measurable business value. This role focuses on transforming approved use cases into secure, scalable, and production-ready applications across the enterprise.

Working closely with architecture, security, data, and business teams, this role ensures AI solutions are practical, reusable, and aligned with enterprise standards.

Responsibilities

  • Design, develop, test, deploy, and support AI-powered applications, assistants, agents, automations, and integrations 

  • Translate business needs into functional prototypes, pilots, and enterprise-grade solutions 

  • Build and maintain reusable AI components and patterns (e.g., RAG, prompt templates, embeddings, orchestration, evaluation, monitoring, guardrails) 

  • Integrate solutions with enterprise data sources, APIs, document repositories, and cloud platforms 

  • Partner with AI architecture and governance teams to ensure adherence to approved design patterns and avoid one-off solutions 

  • Own the end-to-end AI delivery lifecycle, including CI/CD, automated testing, deployment, observability, and support 

  • Evaluate use cases to determine optimal solution approach (build, buy, vendor, or non-AI alternative) 

  • Monitor and optimize solutions for performance, reliability, cost, and user adoption 

  • Troubleshoot issues related to model outputs, data quality, integrations, latency, and user experience 

  • Produce clear technical documentation to enable reuse, support, and long-term maintainability 

  • Stay current on emerging AI technologies and recommend practical, value-driven improvements

Knowledge, skills & abilities requirements

  • Strong hands-on experience in software development and application engineering
  • Proficiency in modern programming languages (e.g., Python, JavaScript/TypeScript, C#)
  • Experience building APIs, integrations, enterprise applications, or automation workflows
  • Hands-on experience with modern AI/ML patterns, including: 
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Embeddings and vector search
    • Agents, prompt design, and model evaluation
  • Experience with cloud platforms (preferably Microsoft Azure)
  • Knowledge of CI/CD pipelines, automated testing, and production deployment practices
  • Ability to integrate with structured and unstructured data sources
  • Understanding of security best practices (identity, access control, secrets management, data protection)
  • Strong analytical problem-solving skills and practical decision-making ability
  • Effective communication skills across both technical and business audiences

Preferred Qualifications

  • Experience with enterprise AI platforms and tools (e.g., Azure OpenAI, Azure AI Foundry, Databricks, Power Platform, Copilot Studio, Power BI)
  • Familiarity with vector databases, document intelligence, enterprise search, and AI orchestration frameworks
  • Experience with AI evaluation frameworks, observability, cost management, and prompt/version control
  • Background developing internal enterprise tools or workflow automation solutions
  • Experience in retail, e-commerce, supply chain, merchandising, finance, or customer operations
  • Familiarity with compliance, privacy, and enterprise data governance requirements

Competencies & attributes

  • Passionate Learner - inquisitive about the business; open to feedback and coaching, applies learning quickly; applies learning to improve processes and procedures, proactively shares learning with colleagues and leaders; realigning and reshaping projects

  • Flexible & Agile Adapter - responsive and open to change; works well with ambiguity; adapts to new plans or directions; keeps calm under pressure; perseveres to achieve the plan/task; doesn't dwell on the past

  • Talent Builder - considers how we can create an inclusive culture; encourages input from others; invests time as an informal/formal coach or buddy; works to build a diverse team with the right skills and knowledge; looks for ways to acknowledge, motivate, and value the team

  • Effective Communicator - articulates in an appropriate and accurate manner; emotionally astute while remaining authentic to own style/self; encourages others to express views and opinions; demonstrates active listening and uses probing questions; is concise and relevant with data/info

  • Team Builder - references the importance of teamwork and actively demonstrates collaboration and sharing; builds and/or participates in effective teams; values the importance of inclusion and various sources of thought/input; humble when operating within a team   

  • Customer Focused Partner - understands internal and external customer needs; contributes to plans and actions to improve the associate and customer journey/experience; holds self and team accountable for improving the customer experience; is an advocate for the customer

  • Strategic Thinker - progressive thinking with the ability to bring new ideas to life; works with others to develop progressive and cost-effective strategies; provides suggestions to improve upon continuous improvement and scalability within department; uses a broad range of data sources

  • Big Picture Thinker - understands own department and how other key departments operate; adopts an inclusive approach; seeks feedback reviews progress, and adapts plans as needed; understands interdependencies with other departments 

  • Results Driver - effective at driving and delivering on plans; holds self and team accountable to high standard of delivery; suggests opportunities for innovation and continuous improvement; focuses on the right priorities and uses resources/time wisely; demonstrates grit and determination

  • Problem Solver & Decision Maker - able to consume department/operational data to identify business; identifies, gathers, and examines the relevant information; makes recommendations and takes action to solve challenges, considers importance/impact of decisions against relevant factors

Working conditions & physical requirements

This will be a hybrid role required to be onsite at the corporate office on specified days. The work environment generally involves everyday risks or discomforts which require normal safety precautions typical of such places as offices, meeting and training rooms, retail stores, and residences or commercial vehicles, e.g., use of safe work practices with office equipment, avoidance of trips and falls, observance of fire regulations and traffic signals, etc. The work area is adequately lighted, heated, and ventilated.

The work is sedentary. Typically, the employee may sit comfortably to do the work. However, there may be some walking, standing, bending, and occasionally requires carrying, moving and setting up of computers, for example desktops, monitors, printers, and other small hardware in the testing lab.

Benefits

We offer a competitive salary and outstanding benefits package that includes medical, dental, vision, life Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with company match. In addition, associates of SBH may take advantage of our in-house salon with complementary services and a varied selection of food options at our corporate campus. Also, featured at our corporate campus, is both a Sally Beauty and CosmoProf Professional onsite store, where associates enjoy a great merchandise discount!

#Hybrid


What CosmoProf employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Cosmoprof logo

About Cosmoprof

Sourced by ZipRecruiter

Cosmoprof is a respected name in the beauty industry, headquartered in Denton, TX, United States. This multinational company, accessible via cosmoprofbeauty.com, is a leader in the wholesale distribution of professional beauty products and equipment. It operates by a business-to-business model, catering extensively to salon professionals and beauticians. Its portfolio includes a wide range of products such as hair care, skin care, nail care, tools and accessories, salon furniture, and equipment from leading beauty brands. The company was founded with the intention to nurture the growth of the professional beauty sector.

Industry

Wholesale

Company size

5,001 - 10,000 Employees

Headquarters location

Denton, TX, US