machine learning engineer Jobs in Chicago

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ai ml engineer

The University of Chicago

<div>Department
BSD CTD - Data Science 
About the Department
The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop the discipline of translational data science to impactful problems in biology, medicine, healthcare, and the environment. We envision a world in which researchers have ready access to the data needed and the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/ https://gen3.org/ https://stats.gen3.org/ and https://ctds.uchicago.edu/. 
Job Summary
The Center for Translational Data Science at the University of Chicago is seeking a Staff Data Scientist to support a diverse range of research projects. Data Scientists work in a collaborative interdisciplinary team and play a critical role in AI/ML tooling, features, and improvements for our open-source software systems and applications, analyzing data, and in understanding and representing user requirements to internal and external stakeholders in our translational data science projects and products. Under the leadership of team or project leads, a person in this position will be a key contributor to the design and implementation of algorithms, AI/ML models, and workflows to enable the discovery of valuable information in large volumes of data from various sources; organizes, harmonizes, and analyzes data sets and develops tools to assist such processes; uses various technologies to visualize data or enable data visualization; and creates applications of general value to the project and product owners. The job uses best practices and advanced knowledge of data manipulation, statistical applications, programming, analysis and modeling in order to implement projects related to the University's various internal data systems as well as from external sources. 
 
This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
Responsibilities<ul><li>
Leading the Interpretation of data from multiple sources.</li><li>
Developing and implementing software programs and services, software notebooks and software scripts for data transformation, data integration, data analysis and data visualization.</li><li>
Building, validating and evaluating AI/ML models.</li><li>
Contributing to and taking a leadership role in the enhancement and maintenance of previously developed in-house open-source data platforms, systems, applications and notebooks.</li><li>
Performing various types of analysis involving multiple data sets.</li><li>
Leading data science projects and initiatives within purview, by relaying data analysis and model deployment best practices, enhancing the technical knowledge of peers, and helping develop data science skills in junior employees and interns.</li><li>
Leading the conceptualization, design, and execution of sophisticated data science projects and AI/ML solutions for research and production environments.</li><li>
Establish and enforce data governance, quality assurance processes, and operational protocols for large, complex data sets from internal and external sources.</li><li>
Assisting in providing leadership for design of user-facing computational resources.</li><li>
Serving as a reference for staff, faculty members, and Gen3 users as a technical subject matter expert by applying principles of data science to define and scope data science projects that involve developing computational tools and services for data engineering, data manipulation, statistical analysis, and modeling.</li><li>
Collaborating closely with faculty, researchers, and stakeholders to translate scientific and user requirements into actionable data science strategies and solutions.</li><li>
Stay current with developments in data science, machine learning, artificial intelligence, and related fields, and adopt new methods and technologies to advance research goals.</li><li>
Communicate complex technical concepts and project results clearly to technical and non-technical audiences, and present findings at internal and external forums.</li><li>
Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets.</li><li>
Guides staff or faculty members in defining the project and applies principals of data science in manipulation, statistical applications, programming, analysis and modeling.</li><li>
Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources.</li><li>
Performs other related work as needed.</li></ul> 
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field. 
Work Experience:
Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline. 
Certifications:
-
Preferred Qualifications
Education:<ul><li>
Advanced degree in Computer Science, Data Science, Statistics, Mathematics, Bioinformatics, or a relevant quantitative field.</li></ul>
Experience:
<ul><li>Experience working in data science roles, preferably in an academic, research, or health/science environment.</li><li>
Experience with collaborative open-source projects and software engineering best practices.</li><li>
Experience working in multi-disciplinary academic teams.</li><li>
Knowledge of biomedical and translational research data sources is a significant advantage.</li><li>
Knowledge of hardware specifications required for AI/ML research and projecting resource needs and use in public clouds environments like AWS and GCP.</li><li>
Knowledge of and experience with data and applications of interest to CTDS, including, but not necessarily limited to, AI data commons, AI data meshes, Gen3, NCI Genomic Data Commons, cancer genomics, biomedical imaging data, human clinical data.</li><li>
Expertise in designing and implementing machine learning, deep learning, and statistical models for research and production.</li><li>
Experience with biomedical data.</li><li>
Experience collaborating on manuscripts and submitting papers for peer-reviewed, scientific publications.</li></ul>
Preferred Competencies<ul><li>
Advanced skills in problem solving and quantitative/qualitative analysis.</li><li>
Able to organize and prioritize work assignments to meet project needs and work independently to identify and address needs beyond assigned tasks.</li><li>
Strong communication skills to effectively convey complex findings while serving as a reference and subject matter expert for staff, faculty members, and Gen3 users.</li><li>
Ability to quickly comprehend requirements and assignments and then explain his/her solutions in both writing and speech.</li><li>
Ability to learn new skills quickly and manage complex projects.</li><li>
Proficiency in Python, R, and other relevant programming languages; experience with open-source data science platforms, technologies, and cloud environments.</li><li>
Outstanding analytical, problem-solving, and project management abilities.</li><li>
Proven track record mentoring and leading project teams and communicating technical issues to diverse audiences.</li><li>
Excellent written and verbal communication skills.</li></ul>
Working Conditions<ul><li>
Hybrid office/remote.</li></ul>
Application Documents<ul><li>
Resume/CV (required)</li><li>
Cover Letter (preferred)</li></ul> 
The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions. 
 
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. 
Job Family
Research 
Role Impact
Individual Contributor 
Scheduled Weekly Hours
40 
Drug Test Required
No 
Health Screen Required
No 
Motor Vehicle Record Inquiry Required
No 
Pay Rate Type
Salary 
 
FLSA Status
Exempt 
 
Pay Range
$90,000.00 - $120,000.00
The included pay rate or range represents the University&rsquo;s good faith estimate of the possible compensation offer for this role at the time of posting. 
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. 
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. 
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. 
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. 
The University of Chicago's Annual Security &amp; Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.</div>

Staff Data Scientist & AI Researcher

PayPal

<div>
 
 The Company
 
 
 PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
 
 
 We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
 
 
 We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
 
 
 Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
 
 
 
 Job Summary:
 
 
 
 This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
 
 
 
 Job Description:
 
 
 
 
 Essential Responsibilities:
 
 
 
 <ul>
 <li>
 Assist in the development and optimization of machine learning models.
 </li>
 <li>
 Preprocess and analyze datasets to ensure data quality.
 </li>
 <li>
 Collaborate with senior engineers and data scientists on model deployment.
 </li>
 <li>
 Conduct experiments and run machine learning tests.
 </li>
 <li>
 Stay updated with the latest advancements in machine learning.
 
 
 </li>
 </ul>
 
 Minimum Qualifications:
 
 
 
 <ul>
 <li>
 1+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.
 </li>
 <li>
 Familiarity with ML frameworks like TensorFlow or scikit-learn.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 
 
 </li>
 </ul>
 
 Additional Responsibilities &amp; Preferred Qualifications:
 
 
 
 
 Role And Responsibilities
 
 
 <ul>
 <li>
 Support the lead of the team in performing oversight of high-impact statistical model and AI applications in a variety of business function areas, including but not limited to fraud detection, credit underwriting, marketing analytics etc.
 </li>
 <li>
 Conduct quantitative and qualitative model validation according to Model Risk Management Policy to identify and understand model risk issues
 </li>
 <li>
 Collaborate with business units and model developers to remediate model issues and provide subject-matter expert opinion on model improvements
 </li>
 <li>
 Perform model and AI risk governance related activities in line with enterprise risk framework, to ensure PayPal&rsquo;s AI applications are compliant with ever evolving regulatory expectation such as Responsible AI.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 This position requires the ability and curiosity to learn various advanced modeling methods/AI techniques, covering a broader business function. This role also requires candidate to have the capability in building effective relationship with various stakeholders including business owners, model owners, model developers and control officers. The candidate must possess excellent communication, writing and presentation skills.
 
 
 <ul>
 <li>
 An advanced degree in a quantitative field, such as statistics, mathematics, computer science or engineering essential
 </li>
 <li>
 Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost, CNNs/RNNs)
 </li>
 <li>
 Possessing advanced coding skills in dealing with big data (e.g., Scikit-learn in Python, Tensorflow, Hadoop, Spark , SQL, etc.)
 </li>
 <li>
 Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or marketing analytics obtained either in academic or financial industry
 </li>
 <li>
 Ability to work effectively both independently and in a team environment
 </li>
 <li>
 Ability to communicate effectively and establish constructive relationship with stakeholders
 
 
 </li>
 </ul>
 
 Subsidiary:
 
 
 
 PayPal
 
 
 
 Travel Percent:
 
 
 
 0
 
 
 The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:
 
 
 
 Primary Location : Pay Range:
 
 
 
 Chicago, Illinois : ($117,500.00 - $174,350.00 Annually)
 
 
 
 Additional Location(s) : Pay Range:
 
 
 
 Austin, Texas : ($117,500.00 - $174,350.00 Annually)
 
 
 Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
 
 
 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
 
 
 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
 
 
 
 Our Benefits:
 
 
 
 At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing&mdash;physical, emotional, and financial&mdash;delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
 
 
 
 Who We Are:
 
 
 
 Click Here to learn more about our culture and community.
 
 
 
 Commitment to Diversity and Inclusion
 
 
 
 PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
 
 
 
 Belonging at PayPal:
 
 
 
 Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
 
 
 Any general requests for consideration of your skills, please Join our Talent Community.
 
 
 We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.
</div>

Machine Learning Engineer

J2B GLOBAL LLC

<div><div><div><div><h3 class="jobSectionHeader">Principal ML Engineer</h3>
</div><div>C2CContract
</div></div><div>Chicago, IL
</div><div>Visa: US CitizenH1BTNGreen CardGC-EADH4-EADEAD
</div><div>Role: Principal ML Engineer Location: Dallas, TX - 5 days onsite from day 1 Secondary locations: Chicago, IL and New York City, NY Job Description: Responsibilities: Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights within Mail and the broader client's ecosystem. Innovate and Personalize: Assist in building scalable AI/ML solutions that identify user interests and habits, contributing to personalized user experiences. Technical Leadership: Guide and mentor a team of passionate engineers, fostering a culture of innovation and excellence. Your leadership will ensure the delivery of high-quality, user-centric solutions. Collaborative Development: Work with cross-functional teams to integrate new AI/ML features and improve existing platforms, ensuring smooth user interactions. Data-Driven Insights: Apply machine learning techniques and big data processing to derive insights from mail data, enhancing content and user knowledge. Tool and Workflow Development: Develop AI/ML tools and workflows to manage and utilize large datasets, supporting AI-based infrastructure and analytics. A/B Testing and Analysis: Run regular A/B tests, gather data, and draw conclusions on the impact of your models. Commitment to Excellence: Maintain high engineering standards, focusing on code quality and architectural skills, while delivering optimal user experiences. Feedback and Recovery: Implement feedback loops and recovery paths to handle AI failures gracefully, ensuring user satisfaction. Balance Tradeoffs: Manage cost, quality, and speed tradeoffs in AI/ML solutions to optimize performance. A lot about YOU Educational Background: You have a strong foundation in computer science, data science, or a related field, with a focus on machine learning and AI technologies. Technical Skills: Proficient in programming languages such as Python or Java and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude. AI Skills: Advanced AI skills, including experience with AI development tools and frameworks. Problem-Solving Ability: You possess strong analytical skills and a knack for solving complex problems using data-driven approaches. Collaboration: You are a team player who can work effectively with cross-functional teams, including tech leads and architects, to deliver high-quality solutions. Passion for Innovation: You are enthusiastic about leveraging AI/ML to drive innovation and enhance user experiences across Mail and the broader ecosystem. Attention to Detail: You maintain high standards for code quality and are committed to delivering robust, scalable solutions. Continuous Learning: You are eager to stay updated with the latest advancements in AI/ML and apply them to improve products and services. Qualifications Educational Requirement: Bachelor's degree in Computer Science, Data Science, or a related field; a Master's degree is a plus. Experience: 8+ years of experience in machine learning, data analysis, or a related field. Technical Proficiency: Expertise in Python, Java, or C++ and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude. Data and Infrastructure: Proficient in big data technologies (Hadoop, Spark) and modern ML infrastructure (Airflow, MLFlow, feature stores, vector databases, CI/CD for ML). Generative AI and Optimization: Hands-on experience with LLMs, generative AI (prompt engineering, Agent frameworks, fine-tuning, RAG, LLMOps), and GPU optimizations. Observability and Feedback: Familiar with observability, telemetry, and user feedback loops for product improvement. Algorithm Knowledge: Solid understanding of machine learning algorithms, natural language processing, and data mining techniques. Problem-Solving Skills: Demonstrated ability to solve complex problems and implement efficient, scalable solutions. Collaboration Skills: Ability to work effectively in a team environment and collaborate with tech leads, architects, and cross-functional teams. Communication Skills: Strong verbal and written communication skills to articulate complex technical concepts to non-technical stakeholders. Continuous Improvement: Eagerness to learn and adapt to new technologies and methodologies in the AI/ML domain. Preferred Qualifications Mail Experience: Prior experience working with email systems or related technologies is a plus. Personal Attributes: Self-driven and detail-oriented, with a passion for tackling challenges. Strong teamwork spirit, excellent communication skills, and the ability to multitask and manage expectations effectively. Cloud Experience: Experience with public cloud platforms, especially Google Cloud Platform (GCP), is preferred.</div></div><div> Refer</div></div>

Principal ML Engineer

Uber

<div>About the Role
 
 
Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.
 
 
We are looking for a highly motivated Machine Learning Engineer to join Uber's Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.
 
 
What You'll Do
 
 
This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.
 
 
Basic Qualifications
<ul><li>6+ years of experience developing ML models to solve business problem.
</li><li>Bachelor's degree in Computer Science, Computer Engineering, or related fields.
</li><li>Familiar with modern AI/ML frameworks (e.g., PyTorch).
</li></ul>Preferred Qualifications
<ul><li>Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical.
</li><li>Previous experience with state-of-the-art marketplace technology is preferred.
</li>Experience with causal inference and constrained optimization 
<li>
</li></ul> 
 
For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year. 
 
For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. 
 
Ready to Ride? 
 
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you. 
 
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
 
 
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements. 
 
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</div>

Staff Machine Learning Engineer

Huron Consulting Group

<div>Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We&rsquo;re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we&rsquo;re developing strategies and implementing solutions that enable the transformative change they need to own their future. 
 
As a member of the Huron corporate team, you&rsquo;ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron&rsquo;s collective strategies and enable real transformation to produce sustainable business results. 
 
Join our team and create your future.
This person is a shared engineer who builds and runs the platform every pod reuses: the pipelines, testing, deployment and monitoring, plus reusable building blocks so each new pod starts further ahead.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Build and run the pipelines. CI/CD with automated testing across the pods.</li><li>
Provision the environments. Set up and run the environments the pods build in.</li><li>
Deploy and monitor. The models and agents the pods put into production.</li><li>
Set the standards. Technical and security standards every pod builds to.</li><li>
Build reusable parts. So each new pod starts further ahead than the last.</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Building internal developer platforms.</li><li>
AI testing and monitoring in production.</li><li>
Healthcare or higher education with data-security awareness (HIPAA, FERPA).</li><li>
AWS Machine Learning or DevOps, Azure AI-102, or Kubernetes (CKA).</li></ul><h1 class="jobSectionHeader">
General Required Skills</h1><ul><li>
5 to 8 years in ML or AI platform work or MLOps, including 1 to 2 years leading.</li><li>
Hands-on running AI systems in production.</li><li>
AWS and Azure, Docker, Kubernetes, infrastructure as code.</li><li>
Strong Python.</li><li>
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.</li></ul>
The estimated base salary for this job is $140,000 - $170,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron&rsquo;s annual incentive compensation program, which reflects Huron&rsquo;s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $161,000 - $218,750 USD. The job is also eligible to participate in Huron&rsquo;s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
#LI-REMOTE
#LI-CL1<h2 class="jobSectionHeader">
Position Level</h2>
Manager<h2 class="jobSectionHeader">
Country</h2>
United States of America</div>

Platform Engineer, AI Capability Center Hub

KeyBank

<div>Location:
4910 Tiedeman Road, Brooklyn Ohio
Department: Contact Center Technology 
Experience: 4+ years<h3 class="jobSectionHeader">
About the Role</h3>
KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences.
Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives.
The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks.</li><li>
Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives.</li><li>
Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements.</li><li>
Own end-to-end delivery of complex AI features, from concept and design through deployment and production support.</li><li>
Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences.</li><li>
Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies.</li><li>
Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios.</li><li>
Provide technical mentorship and code review support while contributing directly to development efforts.</li><li>
Establish engineering best practices for AI solution development, testing, deployment, and observability.</li><li>
Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness.</li><li>
Ensure solutions comply with security and regulatory requirements (PII / PCI).</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role.</li><li>
Strong hands-on experience building and deploying AI-powered applications and services.</li><li>
Strong, hands-on experience with Node.js / TypeScript.</li><li>
Proven experience designing and delivering cloud-native solutions on GCP.</li><li>
Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks.</li><li>
Solid understanding of microservices architecture, APIs, and distributed systems.</li><li>
Hands-on Kubernetes experience, including GKE cluster setup and platform operations.</li><li>
Experience with IVR, voice bots, conversational AI, or contact center technologies.</li><li>
Strong collaboration skills across engineering, product, and operations teams.</li><li>
Excellent technical judgment, communication, and problem-solving skills.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain).</li><li>
Experience developing AI agents, orchestration workflows, and multi-agent solutions.</li><li>
Knowledge of voice flows, call routing, containment, and agent escalation.</li><li>
Experience working in regulated or financial services environments.</li><li>
Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code.</li><li>
Experience working in Agile delivery models at enterprise scale.</li><li>
Demonstrated experience with Agentic &quot;Vibe Coding&quot; &mdash; rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows.</li></ul>
This position is NOT eligible for employment visa sponsorship for non-U.S. citizens.
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 09/11/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com. 

#LI-Remote</div>

Lead AI Engineer

University of Chicago

<div>
 
 Department
 
 
 
 OPS ITS - Artificial Intelligence and Automation
 
 
 
 
 About The Department
 
 
 
 
 IT Services (ITS) collaborates with campus partners to support the mission of the University of Chicago through the consistent delivery of high-quality solutions and services. We provide secure, stable, and reliable infrastructure and applications that support the mission of the University. ITS supports and enables faculty research and teaching with the effective use of technology, simplifies the technology experience for all users, identifies, manages, and mitigates technology risks for the University.
 
 
 
 
 Job Summary
 
 
 
 
 The AI Platform Engineer provides the operational support of the University of Chicago&rsquo;s enterprise AI services. This position is responsible for the administration, governance support, compliance monitoring, adoption enablement, and workflow development for institutional AI platforms, beginning with Claude Enterprise.
 
 
 This is a hands-on individual contributor role that combines enterprise platform operations with policy support and campus enablement. The position works across organizational boundaries, coordinating with the CISO&rsquo;s office, the Chief Privacy Officer, General Counsel, and academic units to ensure AI services are secure, governed, and delivering institutional value. The role is designed to scale with Claude adoption and the University&rsquo;s AI portfolio. As new AI tools and capabilities emerge, this position supports the institutional intake process for evaluation, governance alignment, and operational integration.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Administers Claude Enterprise: SCIM provisioning lifecycle (onboarding, offboarding, role changes), connector management, feature flag decisions, admin console configuration, and SSO/IdP maintenance.
 </li>
 <li>
 Integrates and operates the Compliance API and audit log exports, including connection to the institutional SIEM where applicable.
 </li>
 <li>
 Monitors platform health, tracks Anthropic&rsquo;s status page and changelog, and evaluates new features and connectors for governance implications before campus enablement.
 </li>
 <li>
 Serves as the Tier 2/3 escalation point for AI platform issues beyond the help desk&rsquo;s scope.
 </li>
 <li>
 Supports the operational relationship with Anthropic&rsquo;s Technical Account Manager, including quarterly reviews, feature requests, and incident escalation.
 </li>
 <li>
 Produces monthly adoption reporting (MAU, connector usage, training completion, support volume) and maintains dashboards for leadership.
 </li>
 <li>
 Supports the faculty governance groups to provide input from the implementation effort and operations, such as prepare meeting materials, track written-response obligations, and process policy recommendations.
 </li>
 <li>
 Supports the institutional intake process for Claude and other AI tool requests (should we buy X?), working with IT Risk to review proposed tools against the governance framework.
 </li>
 <li>
 Maintains the shadow AI spend dashboard and tracks whether the consolidation thesis is delivering projected outcomes.
 </li>
 <li>
 Coordinates with the CISO and Chief Privacy Officer on compliance questions triggered by new AI features, regulatory changes, or platform incidents.
 </li>
 <li>
 Monitors peer institution AI governance developments, state and federal AI legislation, and regulatory guidance relevant to higher education, including FERPA, HIPAA, GLBA,and export controls.
 </li>
 <li>
 Works with the leaders of the training and enablement programs to develop, review and refresh content.
 </li>
 <li>
 Facilitates office hours (faculty and staff sessions) with other support personnel and coordinates Anthropic TAM participation in regular sessions.
 </li>
 <li>
 Works with University Communications to curate and grow the institutional use case library with department-specific examples, prompt templates, and before/after comparisons.
 </li>
 <li>
 Supports the champions network lifecycle through recruitment, engagement, feedback collection, and cohort rotation.
 </li>
 <li>
 Produces new-feature rollout communications when Anthropic releases capabilities that change product features or user workflows.
 </li>
 <li>
 Builds AI-enabled workflows and integrations for campus units using Claude Projects, MCP connectors, and API integrations to solve real operational problems.
 </li>
 <li>
 Prototypes and evaluates emerging capabilities (agentic workflows, Claude Code, new connector surfaces) for institutional applicability.
 </li>
 <li>
 Partners with departmental stakeholders to identify high-value automation opportunities, and translates them into working solutions.
 </li>
 <li>
 Documents workflow patterns and references architectures for campus reuse.
 </li>
 <li>
 Collaborates with device management teams to effectively manage Claude application deployment and management for campus users.
 </li>
 <li>
 Investigates, analyzes and resolves day-to-day technical problems using standard procedures.
 </li>
 <li>
 Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements.
 </li>
 <li>
 Performs other related work as needed.
 
 
 </li>
 </ul>
 
 
 Education:
 
 
 
 
 
 Minimum Qualifications
 
 
 
 Minimum requirements include a college or university degree in related field.
 
 
 
 
 Work Experience:
 
 
 
 
 Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
 
 
 
 
 Certifications:
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 Education:
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, computer science, information science, public policy, or a related field.
 
 
 </li>
 </ul>
 
 
 Experience:
 
 
 
 
 <ul>
 <li>
 2&ndash;5 years of professional experience in IT operations, platform management, IT governance, or a comparable role that combined technical and policy work.
 </li>
 <li>
 Background drafting or contributing to policy documents, guidance materials, or governance frameworks in a professional setting.
 </li>
 <li>
 Background in higher education IT, academic administration, or a similarly decentralized institutional environment.
 
 
 </li>
 </ul>
 
 
 Technical Skills Or Knowledge:
 
 
 
 
 <ul>
 <li>
 Demonstrated ability to learn enterprise SaaS administration (SSO, SCIM, API integrations, admin consoles) through structured onboarding. Direct prior experience is not required; technical aptitude and a track record of learning complex systems quickly.
 </li>
 <li>
 Familiarity with data governance and compliance frameworks relevant to higher education, including FERPA, HIPAA, GLBA, and export controls.
 </li>
 <li>
 Proficient in enterprise AI platforms, such as Claude, ChatGPT Enterprise, Microsoft Copilot, or comparable, as an administrator or power user.
 </li>
 <li>
 Proficient in identity and access management systems, for example Shibboleth, Entra ID, Okta, or comparable platforms.
 </li>
 <li>
 Familiarity with API integration, scripting, or workflow automation tools.
 
 
 </li>
 </ul>
 
 
 Preferred Competencies
 
 
 
 
 <ul>
 <li>
 Strong written communication skills to produce clear guidance documents, meeting materials, and status reports for both technical and non-technical audiences.
 </li>
 <li>
 Work across organizational boundaries in a decentralized environment, coordinating with stakeholders who do not report to you.
 </li>
 <li>
 Comfortable operating with a moderate level of guidance and direction, with the judgment to escalate complex issues to senior staff as needed.
 </li>
 <li>
 Work with governance committees, advisory boards, or cross-functional working groups.
 </li>
 <li>
 The AI landscape is changing rapidly. This role requires a disposition toward continuous learning and comfort with ambiguity. The platforms, policies, and best practices this person manages will change materially year over year.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Hybrid, onsite and remote work as determined by business needs.
 </li>
 <li>
 This position reports to the Office of Chief Technology Officer. The CTO provides escalation authority for cross-institutional coordination, such as CISO, General Counsel, Privacy Officer, and academic units.
 </li>
 <li>
 The role is structured with an intensive onboarding period during the initial platform deployment, approximately nine months, during which the engineer will shadow existing IAM and enterprise systems staff to learn platform-specific administration. The workload composition shifts from deployment-heavy to operations-and-development as the platform matures.
 
 
 </li>
 </ul>
 
 Application Documents
 
 
 
 <ul>
 <li>
 Resume/CV (required)
 </li>
 <li>
 Cover Letter (required)
 </li>
 <li>
 References Contact Information (3)(required)
 
 
 </li>
 </ul>
 The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.
 
 
 When applying, the document(s)
 
 MUST
 
 be uploaded via the
 
 My Experience
 
 page, in the section titled
 
 Application Documents
 
 of the application.
 
 
 
 Job Family
 
 
 
 Information Technology
 
 
 
 Role Impact
 
 
 
 Individual Contributor
 
 
 
 Scheduled
 
 
 Weekly Hours
 
 
 
 37.5
 
 
 
 
 Drug Test Required
 
 
 
 
 No
 
 
 
 
 Health Screen Required
 
 
 
 
 No
 
 
 
 
 Motor Vehicle Record Inquiry Required
 
 
 
 
 No
 
 
 
 Pay Rate Type
 
 
 
 Salary
 
 
 
 FLSA Status
 
 
 
 Exempt
 
 
 
 Pay Range
 
 
 
 $120,000.00 - $135,000.00
 
 
 The included pay rate or range represents the University&rsquo;s good faith estimate of the possible compensation offer for this role at the time of posting.
 
 
 
 
 Benefits Eligible
 
 
 
 
 Yes
 
 
 The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
 
 
 
 Posting Statement
 
 
 
 The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
 
 
 Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
 
 
 All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
 
 
 The University of Chicago's Annual Security &amp; Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.
</div>

AI Platform Engineer

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