Title: AI/ML Engineer - Revenue Cycle Automation-Remote - Rochester, MN - Full Time - Remote: Yes Job Description: Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Responsibilities The AI/ML Engineer, a full-stack AI/ML architect for the Revenue Cycle pillar, responsible for both agentic solutions (UiPath Maestro, LLM orchestration, agent + bot + human-in-the-loop patterns) and predictive ML solutions. This role sets the AI architecture direction for Revenue Cycle, defines reference patterns, and collaborates with delivery teams to bring solutions from prototype to production. The ideal candidate is equally comfortable designing an agentic orchestration topology and shipping a production ML model. Key Responsibilities: - Architect full-stack AI/ML solutions for Revenue Cycle, spanning agentic orchestration (UiPath Maestro, LLM agents, RPA bots, human-in-the-loop) and predictive ML. - Define reference architectures, design patterns, and guardrails for AI use in Revenue Cycle, in partnership with enterprise architecture, security, and data governance. - Lead design of high-complexity solutions such as agentic patient portal inbasket management, combining UiPath Maestro, AI agents, RPA bots, and human-in-the-loop oversight. - Develop, evaluate, and productionize ML models using Python, modern ML libraries, and Mayo Clinic's approved cloud and data platforms. - Partner with delivery leads, app analysts, and business analysts to translate Revenue Cycle opportunities into AI-enabled solutions with measurable ROI. - Establish standards for model lifecycle management, monitoring, bias and drift evaluation, and responsible AI practice aligned to Mayo Clinic policy. - Evaluate emerging AI capabilities (new LLM models, agentic frameworks, UiPath releases) and guide when and how to adopt them. - Mentor AI/ML engineers and developers across the program; contribute to enterprise AI community of practice. Qualifications A master's degree in engineering, computer science, mathematics, health science, or a related field and 1 year experience, OR A bachelor's degree with 3 years of experience. - Experience applying AI and machine learning in production environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology. - Skill in cloud infrastructure environment and software development tools. - Experience working with large, complex, and heterogeneous data sets, preferably in healthcare. - Skill in AI/ML techniques and frameworks. - History of collaborating across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders. - Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities. - Strong interpersonal, communication, and time management skills. Preferred Qualifications: - Professional experience in AI/ML engineering, solution architecture, or a combined architect/engineer role. - Proven experience designing and delivering agentic or LLM-enabled solutions in production environments. - Proven experience building and deploying predictive ML models end-to-end, including feature engineering, evaluation, and monitoring. - Strong proficiency in Python and modern ML/AI libraries (scikit-learn, PyTorch or TensorFlow, LangChain, LangGraph or equivalent). - Working experience with UiPath (Studio, Orchestrator, Maestro, Document Understanding, AI Center) or Google Cloud Platform - Hands-on experience with Azure (preferred) or other major cloud platforms for AI workloads, including MLOps tooling. - Experience defining reference architectures, design patterns, and technical standards at enterprise scale. - This position is a 100% remote work. Individual may live anywhere in the US. This vacancy is not eligible for sponsorship / we will not sponsor or transfer visas for this position. Exemption Status Exempt Compensation Detail $116,043 - $142,147 / year; Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Standard Days M-F Weekend Schedule As Needed International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we're making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world. Job Summary The Machine Learning Revenue (MLR) Architect is a senior leadership role responsible for leading and coordinating the strategic development of MLR solutions. This position requires a blend of business understanding, critical thinking skills along with expertise in Machine Learning (ML) methodologies, business process and systems architecture design. Key duties include designing how algorithms embed within broader systems, leading engineers, data scientists and analysts, and collaborating with business stakeholders to ensure efforts drive economic growth. Job Description Responsibilities: - Opportunity Definition Work with business and operational teams to understand the problem, the operational and system constraints, the available data, and decision points. Communicate this to the team to ensure team members have a clear understanding of the problem. Define how opportunities fit within the long-term evolution of the systems. - Define Project KPIs and Analytics Strategies : Based on the problem and the - available data, determine how we can measure success and monitor system - outcomes/dynamics. - Solutions design: Define and drive the evolution of the solution, identifying points of high leverage, and phases/evolution of the system. Determine whether and how 3rd party capabilities can be integrated into the solution. Solutions may include changes to data, operational processes, and software systems. - Project stewardship: Evolve plans and direction as we iteratively gather feedback and learn about solution effectiveness. Identify and resolve roadblocks, miscommunication, and misunderstanding, and, as needed, adapt plans to meet target timelines. - Stakeholder management: Collaborate with cross-functional leaders to identify opportunities, communicate and evaluate solutions, and gather feedback. - Team leadership: Mentor of data scientists and analysts, fostering a collaborative and high-performing environment. Passionate about solving problems, and inspires similar spirit in team members. - Technical direction: Provide technical guidance, set standards, and ensure the team uses appropriate tools and methodologies. - Innovation: Stay current with emerging trends in data science, AI, and big data - technologies to drive innovation and maintain a competitive advantage. - Consistent exercise of independent judgment and discretion in matters of significance. - Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. - Other duties and responsibilities as assigned. Required skills and qualifications - Education: A Master's or PhD in a quantitative field such as Management Science, Computational Economics, Statistics, or Computer Science, or equivalent industry experience. - Experience: Extensive experience in Advertising Technology, with a proven track record of delivering business results. - Business acumen: Strong understanding of how math can be leveraged to solve business problems and drive growth. Strong understanding of digital advertising - ecosystem and technologies. Exceptional problem-solving and critical thinking skills. - Technical proficiency: Strong expertise in statistical analysis, machine learning, data mining, and data visualization. - Programming: Proficiency in languages like Python or R, and experience integrating solution into the enterprise infrastructure - Big data: Experience with big data technologies such as Hadoop and Spark. - Leadership: Proven experience in leading and managing teams of technical professionals - Communication: Excellent communication and presentation skills to translate complex data into actionable business strategies for various audiences. Employees at all levels are expected to: - Understand our Operating Principles; make them the guidelines for how you do your job. - Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. - Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. - Win as a team make big things happen by working together and being open to new ideas. - Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. - Drive results and growth. - Support a culture of inclusion in how you work and lead. - Do what's right for each other, our customers, investors and our communities. Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant's criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment. Skills: Leadership; Machine Learning (ML); Business Acumen; Digital Advertising; Data Science; Big Data; Economic Analysis Salary: National Pay Range: $163,047.59 USD-$382,142.79 USD Illinois Pay Range: $173,238.06 USD - $336,285.66 USD Colorado Pay Range: $183,428.54 USD - $351,571.37 USD Hawaii Pay Range: $213,999.96 USD - $320,999.94 USD Washington DC Pay Range: $234,380.91 USD - $351,571.37 USD Maryland Pay Range: $193,619.01 USD - $351,571.37 USD Minnesota Pay Range: $183,428.54 USD - $320,999.94 USD New York Pay Range: $193,619.01 USD - $382,142.79 USD Washington Pay Range: $183,428.54 USD - $366,857.08 USD New Jersey Pay Range: $203,809.49 USD - $366,857.08 USD Vermont Pay Range: $193,619.01 USD - $305,714.23 USD Massachusetts Pay Range: $203,809.49 USD - $366,857.08 USD California Pay Range: $183,428.54 USD - $339,682.48 Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 15 Years +

Role Description We are looking for an AI/ML Engineer to design and implement scalable AI/ML solutions for engineering challenges. This position will be full-time and remote. What You’ll Do - Develop and maintain high-performance AI/ML infrastructure (local and cloud-based) to support AI hub projects and engineering users - Build and deploy scalable machine learning pipelines using TensorFlow, PyTorch, Keras, and other deep learning frameworks for production environments - Implement classical machine learning algorithms including regression models, classification algorithms, clustering techniques, dimensionality reduction methods, and ensemble methods (Random Forests, XGBoost, LightGBM) - Design and deploy deep learning architectures including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), autoencoders, and transformer architectures for non-generative tasks - Apply inverse design principles to optimize engineering solutions using AI-driven approaches, enabling data-driven design optimization - Develop physics-informed neural networks (PINNs) and hybrid AI models that integrate engineering domain knowledge with machine learning capabilities - Implement surrogate modeling techniques to accelerate engineering simulations and enable real-time optimization Qualifications - 4-6 years of relevant experience - Proven track record of developing and deploying AI/ML solutions for engineering, scientific, or industrial applications - Demonstrated experience in successfully delivering end-to-end machine learning projects from conception to production deployment - Deep understanding of classical machine learning algorithms: linear regression, logistic regression, Support Vector Machines (SVM), decision trees, random forests, gradient boosting machines (XGBoost, LightGBM, CatBoost), k-means clustering, hierarchical clustering, Principal Component Analysis (PCA), and other dimensionality reduction techniques - Strong expertise in deep learning architectures: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), Gated Recurrent Units (GRUs), autoencoders, variational autoencoders, attention mechanisms, residual networks (ResNets), and transformer architectures for non-generative applications - Hands-on experience with TensorFlow, PyTorch, Keras, scikit-learn, XGBoost, and related ML/DL libraries and frameworks - Knowledge of inverse design principles, optimization algorithms (gradient descent variants, genetic algorithms, particle swarm optimization), and AI-driven engineering design methodologies - Experience with physics-informed machine learning, multi-objective optimization, and constraint-based optimization - Familiarity with computer vision techniques, time-series analysis, anomaly detection, and predictive maintenance applications - Understanding of feature engineering, feature selection, data augmentation techniques, and handling imbalanced datasets - Experience with model interpretability and explainable AI techniques (SHAP, LIME, attention visualization, feature importance analysis) - Knowledge of transfer learning, domain adaptation, and few-shot learning techniques - Understanding of neural network optimization, loss function design, and training strategies for complex engineering problems Requirements - Ability to safely and successfully perform the essential job functions - Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. - Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor Reasonable Accommodation Statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Title: AI/ML Engineer - Shared Services Automation-Remote Rochester, MN Full Time Remote: Yes Job Description: Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Responsibilities The AI/ML Engineer is a hands-on builder of AI-enabled and agentic solutions for Finance Shared Services. This role develops, deploys, and supports ML models, LLM-based components, and agentic automations that extend the program beyond traditional RPA. The engineer works closely with the Solution Architect, Senior AI/ML Engineer, and delivery team to bring AI capabilities into production with the reliability and governance expected of enterprise Finance systems. Key Responsibilities: - Develop and deploy ML models, LLM-enabled components, and agentic automations supporting Finance Shared Services use cases. - Integrate AI components with UiPath automations using Maestro, AI Center, Document Understanding, and Communications Mining where appropriate. - Partner with Solution Architects and the Senior AI/ML Engineer on architecture alignment, reuse, and standards. - Own responsible model lifecycle practices: evaluation, monitoring, drift detection, and retraining. - Contribute to engineering practice: code review, source control, CI/CD, and testing. - Support production solutions, triage incidents, and deliver root-cause fixes. - Stay current on emerging AI capabilities and surface candidate applications for Finance. Qualifications A master's degree in engineering, computer science, mathematics, health science, or a related field and 1 year experience, OR A bachelor's degree with 3 years of experience. - Experience applying AI and machine learning in production environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology. - Skill in cloud infrastructure environment and software development tools. - Experience working with large, complex, and heterogeneous data sets, preferably in healthcare. - Skill in AI/ML techniques and frameworks. - History of collaborating across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders. - Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities. - Strong interpersonal, communication, and time management skills. Preferred Qualifications: - 3+ years of hands-on AI/ML engineering experience, including production deployments. - Strong proficiency in Python and modern ML/AI libraries. - Experience with LLM-based solutions (prompting, RAG, tool use, evaluation). - Working experience with UiPath or comparable automation platforms. - Experience with Azure, GCP or another major cloud platform for AI workloads. - Experience with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and UiPath Maestro. - Experience in healthcare, Finance, or other regulated environments. - Azure AI Engineer, AWS ML Specialty, or comparable certifications. - This position is a 100% remote work. Individual may live anywhere in the US. This vacancy is not eligible for sponsorship / we will not sponsor or transfer visas for this position. Exemption Status Exempt Compensation Detail $116,043 - $142,147 / year; Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Standard Days M-F Weekend Schedule As Needed International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.