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

Kirkland & Ellis LLP.

AI Engineer II

Houston, TX · On-site

$116K - $144K/yr

Experience with Microsoft Azure AI services (e.g., Azure Machine Learning, Azure OpenAI Service ... integration patterns. * Evaluation & Optimization: Understanding of AI evaluation techniques ...

Gene by Gene

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

... patterns (OAuth 2.0, OIDC, JWT). • Broader machine learning experience: classical/predictive ML ... NIST AI RMF, ISO/IEC 42001. • Container experience (Docker, Kubernetes) and event-driven ...

FIRST SERVICE CREDIT UNION

AI Engineer

Houston, TX · On-site

... patterns, and best practices for AI development at FSCU, since none currently exist. Sets the ... Three years or more of experience building and deploying machine learning or LLM-based applications ...

FIRST SERVICE CREDIT UNION

AI Engineer

Houston, TX

... patterns, and best practices for AI development at FSCU, since none currently exist. Sets the ... Three years or more of experience building and deploying machine learning or LLM-based applications ...

FIRST SERVICE CREDIT UNION

AI Engineer

Houston, TX

... patterns, and best practices for AI development at FSCU, since none currently exist. Sets the ... Three years or more of experience building and deploying machine learning or LLM-based applications ...

Oxy

AI ML Operations Engineer

Houston, TX · On-site

$66K - $89K/yr

They are seeking an experienced AI Machine Learning Operations Engineer to research, build, and ... patterns that reduce duplication and enable teams to ship faster and more safely • Navigates ...

Hp

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning ... Strategizes models to uncover patterns and predictions creating business value and innovation.

Hp

AI Product Manager

Spring, TX

$116K - $182K/yr

The ideal candidate brings a strong learning mindset and curiosity , practical familiarity with AI ... Experience with AI deployment patterns, or scaling AI solutions across large organizations

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How much do patterned learning ai jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for patterned learning ai in Houston, TX is $38.86, according to ZipRecruiter salary data. Most workers in this role earn between $28.22 and $50.48 per hour, depending on experience, location, and employer.

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 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 popular job titles related to Patterned Learning Ai jobs in Houston, TX? For Patterned Learning Ai jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Patterned Learning Ai jobs in Houston, TX look for? The top searched job categories for Patterned Learning Ai jobs in Houston, TX are:
What cities near Houston, TX are hiring for Patterned Learning Ai jobs? Cities near Houston, TX with the most Patterned Learning Ai job openings:
Patterned Learning Ai jobs near you

AI Engineer II

Kirkland & Ellis LLP.

Houston, TX • On-site

$116K - $144K/yr

Full-time

Medical, Retirement, PTO

Posted 26 days ago

Job description

About Kirkland & Ellis
At Kirkland & Ellis, we don't just meet the standard for legal excellence - we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 24 offices worldwide. Our dedicated professionals share our lawyers' commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.
What You'll Do
Are you passionate about building scalable, real-world AI solutions that transform how professionals work? As an AI Engineer II, you'll design, build, and optimize enterprise AI solutions that power innovation across Information Technology's Innovation Technology and Litigation Practice Technology (LPT) teams. Reporting to the AI Engineering Lead, you'll take ownership of the full AI solution lifecycle-from architecture and deployment to evaluation and continuous improvement-while collaborating closely with cross-functional stakeholders.
In this role, you'll combine technical depth with practical impact, helping deliver secure, production-ready solutions while also mentoring junior engineers and contributing to the evolution of AI capabilities across the organization.
  • Solution Architecture: Design scalable, secure AI architecture and translate business needs into actionable technical solutions and implementation plans.
  • AI Development & Deployment: Build and deploy AI models, large language model (LLM)-powered applications, and retrieval-augmented generation (RAG) pipelines across enterprise environments.
  • Quality & Evaluation: Create and manage evaluation frameworks including regression testing, benchmark datasets, and human-in-the-loop validation to ensure high-quality outputs.
  • Troubleshooting & Optimization: Diagnose and resolve complex issues across AI systems and integrations, performing root cause analysis and implementing long-term fixes.
  • Automation & Efficiency: Develop and enhance automated pipelines for AI delivery using tools like Azure DevOps, GitHub Actions, Python, and PowerShell.
  • Security & Responsible AI: Ensure solutions meet security standards, data governance requirements, and Responsible AI (RAI) guidelines while complying with regulatory expectations.
  • Collaboration & Mentorship: Partner with engineers, architects, and stakeholders across teams while mentoring junior team members and contributing to knowledge sharing.

What You'll Bring
  • Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; advanced degree or certifications (e.g., Microsoft Certified: Azure AI Engineer Associate) are a plus.
  • Experience: 3-5 years of hands-on experience in software engineering, cloud engineering, or AI/machine learning (AI/ML) development with a track record of delivering solutions end-to-end.
  • Programming & AI Development: Strong Python skills with experience building AI/ML models, APIs, and LLM or RAG-based solutions.
  • Cloud & Platform Expertise: Experience with Microsoft Azure AI services (e.g., Azure Machine Learning, Azure OpenAI Service, Azure AI Search) along with Docker and Kubernetes (AKS).
  • Engineering Practices: Familiarity with continuous integration and continuous delivery (CI/CD) pipelines, infrastructure as code (IaC) tools (Terraform or Bicep), and modern API/integration patterns.
  • Evaluation & Optimization: Understanding of AI evaluation techniques, including prompt testing, benchmarking, and performance tuning.
  • Technical Versatility: Experience with GPU environments, Linux systems, and frameworks such as LangChain, Semantic Kernel, or Azure Prompt Flow.
  • Collaboration & Mindset: Strong problem-solving skills, a collaborative approach, and a passion for mentoring and continuous improvement.

If you're excited to build impactful AI solutions, collaborate with forward-thinking teams, and drive innovation in this AI Engineer II role, we'd love to hear from you!
Compensation
The base salary range below represents the low and high end of the salary range for this position in Chicago. This range may differ based on your geographic location and cost of living considerations. At Kirkland & Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.
Compensation Range:
Chicago: $116,000 - $144,000
How to Apply
Thank you for your interest in Kirkland & Ellis LLP. To complete an application and submit your resume, please click "Apply Now."
Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.
Equal Employment Opportunity
All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee's race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. #LI-Hybrid #LI-SM1

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