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Patterned Learning Ai Jobs in Connecticut (NOW HIRING)

... various learning approaches. The ideal candidate has hands-on coaching experience across Agile ... Reinforce responsible AI usage patterns by clarifying where humans must own decisions, how evidence ...

Vibe Coding Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Vibe Coding Tutor

Hartford, CT · Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Vibe Coding Tutor

Norwalk, CT · Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Vibe Coding Tutor

Stamford, CT · Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Vibe Coding Tutor

New Haven, CT · Remote

$18 - $40/hr

Ability to explain effective prompt patterns, code review practices for AI output, and rapid ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

CogAT Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Ability to explain cognitive reasoning patterns while preparing students for gifted program ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Showing results 41-60

Patterned Learning Ai information

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 Connecticut? For Patterned Learning Ai jobs in Connecticut, the most frequently searched job titles are:
What cities in Connecticut are hiring for Patterned Learning Ai jobs? Cities in Connecticut with the most Patterned Learning Ai job openings:

Technical AI Product Lead (CMH Health)

Milliman

Windsor, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Milliman rating

8.5

Company rating: 8.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.

Milliman’s CMH Health practice is seeking a Technical AI Product Lead who will function as “The Designer,” by creating solutions and making appropriate tradeoffs while prioritizing cost reduction and system reliability with a focus on efficiency. As a feature owner, the Technical AI Product Lead will own specific features from concept to client delivery within speed, cost, and quality constraints and interact with internal consultants to understand user needs and perform initial reasonableness checks.

Who We Are 

The beginning of a new Data & AI decade that will reshape work and society has begun. Milliman is stepping boldly into this future with a clear goal of reinventing how we and our clients conduct business with data & AI.

With over 5,000 professionals serving our clients to protect the health and financial well-being of people everywhere, Milliman's focus on AI brings together our technologists, consultants, and professionals in every corner of the healthcare ecosystem. Independent for over 75 years, we are helping companies take on some of the world’s most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

Job Responsibilities

  • Meet task and project deadlines through active dependency management and delivery cadence
  • Create quality outputs with pragmatic tradeoffs and repeatable delivery
  • Follow QRM with reviewable design decisions and risk tradeoffs
  • Understand core tech stacks and make pragmatic architecture and automation decisions
  • Delegate and teach effectively, with meaningful execution delegated to others when appropriate
  • Identify client problems and design features with clear tradeoffs
  • Manage feature dependencies and budgets
  • Prepare client communications that explain tradeoffs and results clearly
  • Act as a trusted partner for features and tradeoffs
  • Meet or exceed client expectations through repeatable delivery and improved efficiency
  • Coach staff in tool usage, patterns, and feedback
  • Handle conflict productively and build trust
  • Provide and obtain timely feedback with clear expectations
  • Optionally participate on market segment committees
  • Identify scalable opportunities and support pilots
  • Support practice marketing efforts as appropriate
  • Assist with broader practice needs such as mentoring and interviewing

    Minimum requirements

    • Bachelor's degree in Computer Science, Engineering, or a related field.
    • 4+ years of experience in software development with a focus on AI and machine learning applications.
    • Experience working with foundational model APIs (OpenAI, Anthropic, Gemini, Llama)
    • Proficiency in programming languages such as Python and C#, and experience with AI frameworks like LangChain, OpenAI, LlamaIndex, PromptFlow, PyTorch, or similar.
    • Experience implementing and integrating pre-trained AI models into applications.
    • Strong understanding of machine learning algorithms and natural language processing techniques.
    • Familiarity with software development practices, version control systems, and agile methodologies.
    • Experience working with cloud technologies (Azure) and handling large datasets (e.g., Azure Synapse, Databricks, Data Lakes).
    • Excellent problem-solving skills and the ability to troubleshoot complex AI-related issues.
    • Strong communication skills with the ability to work collaboratively in a team environment.
    • Knowledge of the healthcare industry and regulatory considerations is preferred.

    Competencies and Behaviors that Support Success in this Role 

    • Execution and Ownership: Ownership mindset, reliable commitments, prioritization, and delivery planning
    • Technical and AI Leverage: Technical depth, systems thinking, architecture judgment, and practical automation
    • Quality, Risk, and Defensibility: Validation discipline, risk awareness, and controls mindset
    • Domain, Product, and Outcomes: Domain curiosity, product thinking, and adoption orientation
    • Communication and Influence: Written communication, oral communication, and stakeholder management
    • Leadership and Team Scaling: Coachability, delegation, coaching, and team contribution
    • Mindset: Impact-first, systems-thinking, pragmatic MVP judgment
    • Discovery: Internal consultant posture, customer truth-seeking, and option shaping with explicit tradeoffs
    • Execution: Strong last-mile ownership, scope control, blocker removal, and operational integrity
    • Judgment: Technical empathy, system impact evaluation, and design taste

        The Team

        The Technical AI Product Lead will join a team that thrives on leveraging generative AI technology, analytics, and data to deliver meaningful business value.  This is a team with technical aptitude and analytical prowess that enjoys building efficient and scalable products and processes. Ultimately, we are passionate about affecting change in healthcare. 

        This role will join a mix of software development, actuary, pharmacist, and consulting professionals and work on several different initiatives with a focus on new innovations. We aim to provide everyone with a supportive environment, where we foster learning and growth through rewarding challenges.

        Location

        It is preferred that candidates work on-site at our Brookfield, Wisconsin office, however, remote candidates will be considered. The expected application deadline for this job is October 30, 2026.

        Compensation

        The overall salary range for this role is $117,500 - $279,680. For candidates residing in:

        Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Newark, San Jose, San Francisco, Pennsylvania, Virginia, Washington, or the District of Columbia:

        • $131,125 - $222,985 if overall experience is less than 6 years; and
        • $169,510 - $279,680 for experience greater than 6 years

        All other states:

        • $117,500 - $193,900 if overall experience is less than 6 years; and
        • $147,400 - $243,200 for experience greater than 6 years

        A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.

        Benefits

        We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include:

        • Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners.
        • Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges.
        • 401(k) Plan – Includes a company matching program and profit-sharing contributions.
        • Discretionary Bonus Program – Recognizing employee contributions.
        • Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses.
        • Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis.
        • Holidays – A minimum of 10 observed holidays per year.
        • Family Building Benefits – Includes adoption and fertility assistance.
        • Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria.
        • Life Insurance & AD&D – 100% of premiums covered by Milliman.
        • Short-Term and Long-Term Disability – Fully paid by Milliman.

        Equal Opportunity

        All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.


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        About Milliman

        Sourced by ZipRecruiter

        Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

        Industry

        Business management consulting

        Company size

        1,001 - 5,000 Employees

        Headquarters location

        Seattle, WA, US

        Year founded

        1947