case manager

financial analyst

machine learning engineer Jobs in Chicago

machine learning engineer

administrative assistant

bartender

Qureos

Professional Driver Job Overview Qureos is a forward-thinking platform dedicated to bridging the gap between education and employment. We connect learners with real-world projects and mentorship to enhance their skills and career readiness. We are currently seeking a reliable and professional Driver to join our team in Chicago, Illinois, United States. This is a full-time position for an individual who is committed to safety, punctuality, and professionalism. The successful candidate will play a vital role in supporting our daily operations, ensuring that our team and materials are transported safely and efficiently, thereby contributing to our mission of fostering professional growth. Responsibilities • Safely operate a company vehicle in compliance with all local and state traffic laws. • Provide timely transportation for company personnel, guests, and materials to and from various destinations. • Plan and follow the most efficient routes, considering traffic and weather conditions. • Ensure the vehicle is kept clean, tidy, and in excellent working condition at all times. • Perform regular vehicle inspections, including checks on fuel, oil, water, and tyres, and report any issues promptly. • Maintain a detailed log of journeys, mileage, and fuel consumption. • Represent Qureos with a professional and courteous demeanour when interacting with staff and external partners. • Assist with the loading and unloading of items as required, ensuring they are handled with care. Qualifications • A valid US driving licence with a clean driving record. • Proven experience as a professional driver in a corporate or similar environment. • Thorough knowledge of Chicago's road network and traffic patterns. • Excellent time management and organisational skills. • A high degree of professionalism and a commitment to providing excellent service. • Strong communication and interpersonal skills. • Ability to work flexible hours when necessary. • Basic knowledge of vehicle maintenance is highly desirable. Benefits • A competitive monthly salary of $4,000 - $6,000 USD. • The opportunity to be part of an innovative and mission-driven company that is shaping the future of professional development. • A supportive and collaborative team environment.

driver

Cognizant

About Cognizant Consulting
 Cognizant Consulting is more than Cognizant's consulting practice—we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the Role
 As a Senior Consulting Manager - AI Delivery & Platform Engineering , you will make an impact by helping clients modernize software delivery through scalable CI/CD, platform engineering, cloud-native infrastructure, and AI-enabled development capabilities. You will lead strategic consulting engagements and work closely with executive stakeholders, technology leaders, software engineering organizations, and platform teams to improve delivery velocity, operational resilience, and engineering effectiveness.
 This role combines consulting leadership, platform engineering expertise, and AI-enabled software delivery capabilities to drive transformation outcomes across large enterprise environments. In this role, you will:
 Lead consulting engagements focused on platform engineering, DevOps modernization, cloud-native transformation, and AI-enabled software delivery.
 Develop enterprise delivery strategies and roadmaps that improve engineering productivity, software quality, release velocity, and operational excellence.
 Design and oversee implementation of enterprise CI/CD platforms using technologies such as GitHub Actions, GitLab CI, Azure DevOps, Jenkins, and related automation tools.
 Guide cloud-native software delivery initiatives leveraging Kubernetes, GitOps practices, Infrastructure as Code, observability platforms, and release management capabilities.
 Advise client technology leaders on platform engineering operating models, delivery transformation strategies, governance frameworks, and best practices.
 Enable AI-powered software delivery capabilities including AI-assisted development, model deployment automation, LLM evaluation workflows, and engineering governance controls.
 Build reusable accelerators, playbooks, reference architectures, engineering standards, and consulting assets that improve consistency and scalability across engagements.
 Mentor consulting and engineering teams while contributing to practice growth, innovation, thought leadership, and business development activities. Work Model
 We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this position requires 3 days a week in a client or Cognizant office in Chicago, Illinois . Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
 The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations. What You Must Have to Be Considered
 10+ years of experience in software engineering, platform engineering, DevOps, Site Reliability Engineering, cloud transformation, or related disciplines.
 5+ years of experience leading enterprise technology transformation initiatives and consulting engagements.
 Strong expertise with GitHub Actions and enterprise CI/CD platforms including GitLab CI, Azure DevOps, CircleCI, Buildkite, or Jenkins.
 Experience architecting and implementing Kubernetes-based platforms, GitOps solutions such as ArgoCD or Flux, Infrastructure as Code tools such as Terraform or Pulumi, and cloud-native deployment practices.
 Experience implementing observability solutions including OpenTelemetry, distributed tracing, logging, metrics collection, and software delivery performance measurement.
 Experience supporting AI-enabled applications, LLM workflows, AI development tooling, model operations, or agent-based systems in enterprise environments.
 Demonstrated ability to engage with senior client stakeholders and drive complex technology transformation programs from strategy through execution.
 Strong communication, facilitation, presentation, and stakeholder management skills. These Will Help You Succeed
 Experience developing automation solutions and engineering tooling using Python and API integrations.
 Familiarity with progressive delivery solutions such as Argo Rollouts, Flagger, LaunchDarkly, or similar platforms.
 Exposure to AI evaluation, testing, observability, and governance frameworks such as Promptfoo, DeepEval, Ragas, LangSmith, Braintrust, or equivalent technologies.
 Experience developing reusable developer platforms, engineering accelerators, standards, and enablement assets.
 Experience leading consulting teams and managing large-scale enterprise delivery programs.
 Experience supporting business development efforts, client proposals, solution development, and practice growth initiatives.
 We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. Compensation
 $98,853 - $152,500 per year
 This position is eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits
 Medical, dental, vision and life insurance
 401(k) plan and contributions
 Employee stock purchase plan
 Employee assistance program
 10 paid holidays plus PTO
 Paid parental leave and fertility assistance
 Learning and development certifications and programs

Senior Consulting Manager - Lead AI DevOps Engineer

Alvarez & Marsal

<div></div><div><div><div>Location: Chicago, IL, United States
 
Date Posted: Aug 31, 2026</div></div><div> 
About Alvarez &amp; Marsal
Alvarez &amp; Marsal (A&amp;M) is a global consulting firm with entrepreneurial, action and results-oriented professionals. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are why our people love working at A&amp;M.
The Team
The Global AI &amp; Knowledge Organization (GAIKO) is A&amp;M's central engine for AI strategy, enablement, and knowledge infrastructure. Led by the Chief AI &amp; Knowledge Officer, the team bridges firm strategy and frontline delivery, responsible for how A&amp;M adopts, governs, and scales AI across its practices and geographies.
The team's mandate spans the full lifecycle of AI at A&amp;M: from rolling out enterprise tools like Claude to thousands of practitioners across the US, Australia, and Europe, to building the platforms and governance frameworks that ensure AI work is reusable, compliant, and compounding in value over time.
How you will contribute
The GAIKO team is building A&amp;M's enterprise AI capability &mdash; governing the tools, connectors, and workflows that consulting teams rely on to deliver client work. The Product Analyst will be the operational backbone of AI tools delivery at A&amp;M, keeping the platform running smoothly, features verified, and users well-supported. Working closely with the Product Manager and business unit leads, this role ensures the day-to-day quality and reliability of AI tools from initial rollout through firm-wide scale.
AI tools only create value if practitioners can access them, trust them, and use them effectively. That means managing rollouts carefully across business units, enabling consulting teams with the context they need to adopt new capabilities, and maintaining rigorous standards for which connectors and integrations are authorized for use. By ensuring that the right tools reach the right teams in a compliant, consistent way, the Product Analyst raises A&amp;M's baseline AI capability across the firm and reduces the risk of ungoverned or inconsistent adoption in the field. This is the person who makes that promise real every day.
This is an excellent opportunity for an analytically strong professional who wants to build expertise at the intersection of AI enablement, knowledge operations, and product support in a leading global consulting firm.
<ul><li>Support the Product Manager in developing and maintaining the AI tools roadmap, tracking feature delivery milestones and translating priorities into actionable plans</li>
<li>Monitor and report on performance metrics across AI tools, surfacing adoption trends, usage patterns, and issues to inform decision-making</li>
<li>Serve as the first line of support for business units on enablement requests, coordinating onboarding, training, and adoption guidance for consulting teams</li>
<li>Lead day-to-day planning and coordination of feature and connector evaluations, security reviews, and deployment sequencing &mdash; ensuring each step meets firm governance and compliance standards before rollout</li>
<li>Coordinate with support, training, and communications teams on technical issue resolution and deployment execution, ensuring consistent messaging and a smooth experience for end users across the firm</li>
<li>Work closely with the Product Manager, AI CoE team, and business unit leads to align delivery priorities with practice-area needs and firm-wide enablement goals</li>
<li>Maintain clear documentation of tool configurations, authorized connectors, evaluation outcomes, and rollout status to support auditability and institutional knowledge</li>
<li>Design, run, and evaluate POCs/pilots for new tools or features against defined success criteria; make go/no-go recommendations to the Product Director</li>
<li>Trial new features hands-on as they release; analyze and summarize capabilities, limitations, and fit for A&amp;M workflows</li>
<li>Build and deliver demos to stakeholders (Product team, business unit leads, practitioners)</li>
<li>Be a hands-on practitioner: personally build prototypes with AI tools (e.g. Cowork, Code) to redesign internal product and team workflows</li>
<li>Surface trends and issues to inform Product Director and Product Manager decision-making</li>
</ul>Qualifications
Required
<ul><li>2&ndash;4 years of experience in product operations, business analysis, knowledge management, or a related support function</li>
<li>Strong analytical skills: comfortable pulling and summarizing usage data, building simple dashboards, and spotting trends</li>
<li>Hands on experience with AI tools &ndash; Prompts, Skills development, Cowork.</li>
<li>High attention to detail and a process-oriented mindset &mdash; you find satisfaction in well-organized, accurate systems</li>
<li>Clear, professional written communication; able to write user-facing documentation and internal status updates with equal ease</li>
<li>Hands-on experience using platforms such as Claude, Cowork, ChatGPT, or similar tools in a professional context and a passion for the evolving landscape of enterprise AI capabilities</li>
<li>Comfortable working across time zones and with global teams</li>
</ul>Preferred
<ul><li>Experience with content governance, asset libraries, or structured knowledge repositories is a plus</li>
<li>Prior consulting or professional services experience is a plus</li>
</ul>Your journey at A&amp;M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person&rsquo;s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&amp;M. The possibilities are endless for high-performing and passionate professionals.
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez &amp; Marsal Holdings&rsquo; fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&amp;D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez &amp; Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&amp;M&rsquo;s benefits programs.
 The salary range is $80,000 - $95,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&amp;M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.
#LI-LH1
</div><div><h2 class="jobSectionHeader">Culture &amp; Values</h2>
At Alvarez &amp; Marsal, our core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity guide everything we do, shaping a culture rooted in entrepreneurship, impact, and integrity. We trust our people to take ownership early, contribute to meaningful challenges, and drive results that matter. We empower growth and champion diverse perspectives. Above all, we value doing the right thing. For those ready to roll up their sleeves, lead with integrity, and be difference makers, this is where it starts.
<h2 class="jobSectionHeader">Equal Opportunity Employer</h2>
It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&amp;M policy statements and additional information by region here.
<h2 class="jobSectionHeader">Unsolicited Resumes from Third-Party Recruiters</h2>
Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.</div></div><div></div>

Product Analyst, AI Tools

Adyen

<div>This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&amp;M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. 

<h3 class="jobSectionHeader">
Machine Learning Engineering Manager, Personalize Intelligence</h3> 

The Opportunity

We're looking for an enthusiastic, self-driven Engineering Manager to lead the Personalize Intelligence team. You will lead the team that develops and owns the machine-learning behind Adyen Checkout optimization: our real-time, decision engine that helps merchants to increase their shopper conversion rate to boost seamless checkout experience. It is also the cornerstone of Adyen Uplift, a powerful AI product suite to optimize holistically for conversion, fraud and cost that is used by many of Adyen's customers today. 
 
As an Engineering Manager, you will build, mentor, and coach a diverse and talented team of machine learning scientists and data engineers. You should be comfortable streamlining the team's engineering operations, refining product requirements together with product and merchants and encouraging effective collaboration. As a critical role in the continued success of our organization, you will help to iterate our culture and build an amazing team environment that will create future leaders for Adyen.

What You'll Do:
<ul>
<li>Lead the Personalize Intelligence team with hands-on technical leadership, driving architecture strategy and raising the bar through active mentoring and technical guidance.</li>
<li>Work cross-functionally with Design, Product, Data Engineers, Machine Learning Engineers, Developers and other key stakeholders.</li>
<li>Have a multiplier effect by motivating team members and providing coaching in areas including but not limited to: engineering best practices, scalable architecture design, product roadmap discussions.</li>
<li>Maintain an inclusive team culture focused on autonomy, ownership, collaboration, communication, and impact.</li>
<li>Collaborate with different teams to design and implement new services with reliability/infra/data/dev in mind.</li>
<li>Set clear individual and team goals that align with our strategic engineering ambitions in close collaboration with the product manager.</li>
<li>Create an inspiring and collaborative team environment with an open communication/feedback culture.</li>
<li>Maintain an inclusive team culture focused on autonomy, ownership, collaboration, communication, and impact.</li>
<li>Recruit new team members who align with the Adyen culture and required skills.</li>
</ul>
What You'll Do:
<ul>
<li>You have affinity to the Shopper and Checkout optimization domain.</li>
<li>You have proven experience working with, and deep understanding of machine learning products.</li>
<li>You are an energetic self-starter experienced in creating alignment between multiple teams.</li>
<li>You are able to define, implement and monitor performance to quickly identify opportunities for improvement in existing systems.</li>
<li>You have experience in coaching and mentoring engineering talent.</li>
<li>You have experience in leading technical projects in a fast paced and critical environment.</li>
<li>You have experience collaborating with senior leadership to set strategic direction including product roadmaps.</li>
<li>You are an excellent communicator and team player who can inspire others around them.</li>
<li>You can clearly communicate technical concepts to non-engineers.</li>
</ul>
Minimum Qualifications
<ul>
<li>2+ years experience in managing machine learning engineering teams within a mission-critical environment.</li>
<li>7+ years of experience in a ML/AI tech environment.</li> 
</ul>
Why Adyen?

This is an exceptional opportunity to join a solid, established company with a startup mindset, characterized by small teams, direct communication, and work on important challenges. You'll have direct access to massive global datasets (e.g., payments, identity data) and the ability to see your team's work have an immediate impact at scale. We offer an environment of ownership and speed, where a focused research team can make a significant difference. You will be at the forefront of bridging green and brownfield opportunities, shaping how financial products expand the next era of Adyen.

The annual base salary range for this role is $207,000 - $279,000 plus RSUs; to learn more about our compensation philosophy, please click here. This position is based out of the Chicago office. 

Our Diversity, Equity and Inclusion commitments

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you're from, we welcome you to be your true self at Adyen.

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! 

What's next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don't be afraid to let us know if you need more flexibility.

Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

All your information will be kept confidential according to EEO guidelines. 
<h3 class="jobSectionHeader">
Chicago</h3>

This role is based out of our Chicago office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.</div>

Machine Learning Engineering Manager, Personalize Intelligence

Fitch Group

Requisition ID: 50531
 Business Unit: Fitch Group
 Category: Information Technology
 
Location: 
Chicago, IL, US
 
Date Posted: Aug 31, 2026
 
Machine Learning Engineer, Associate Director – AI Innovation Teams
 
Fitch Ratings is seeking a Machine Learning Engineer to join our new AI Innovation teams in Chicago—a bold initiative building the AI-powered future of financial analysis. We're not fine-tuning existing models or optimizing yesterday's algorithms. We're architecting the next generation: sophisticated agentic AI systems, intelligent automation that thinks, and ML capabilities that will redefine how credit analysis happens and how global financial markets consume insights.
 
This is AI's moment at Fitch, and we're moving decisively. As a Lead ML Engineer, you'll be a technical champion driving this transformation—building breakthrough ML systems that others will study, mentoring engineers who will become tomorrow's AI leaders, and establishing patterns that will scale across the organization. You're joining at the perfect inflection point: early enough to architect foundational decisions, resourced enough to execute boldly.
 
We need ML technologists who see greenfield opportunities as fuel rather than fear—whether you're an ML architect ready to design intelligent systems from first principles, an AI engineering leader who translates research breakthroughs into production reality, or a seasoned practitioner who recognizes that this moment demands courage over caution. If you're motivated by "let's prove this is possible" rather than "we need more data before we decide," this is a high-impact role where you'll spend less time justifying AI's potential and more time realizing it—alongside exceptional engineers who share your conviction that we're building something significant.
 
This role is ideal for someone who wants to remain deeply hands-on while operating at a senior level. You will contribute technical expertise, influence decision-making through strong engineering judgment, and partner closely with engineering leaders, product teams, and fellow engineers to deliver innovative AI solutions at scale. This is a senior individual contributor role with no direct people management responsibilities
 
What We Offer: 
Ground-floor ML leadership with enterprise resources – Define the ML architecture, technical standards, and engineering practices for Fitch's AI future while having the compute, research budgets, and organizational backing that most AI startups would envy; mentor and coach fellow ML engineers while remaining deeply hands-on with the most challenging technical problems
 Build breakthrough ML systems that matter – Develop net-new generative AI platforms, multi-agent orchestration systems, and intelligent automation that will process billions in credit decisions; experiment with frontier models, novel architectures, and unconventional approaches; see your ML innovations directly impact how global financial markets operate
 Access to cutting-edge ML infrastructure and research – Work with the latest LLMs, fine-tune foundation models, leverage enterprise-scale GPU clusters, experiment with emerging frameworks before they're mainstream, and collaborate with academic ML researchers; substantial conference and training budgets to stay at the forefront of AI innovation
 Shape ML governance and standards for an organization – Establish the ML engineering practices, model governance frameworks, and AI integration patterns that will guide Fitch's AI transformation; your architectural decisions will influence how a global financial services leader approaches intelligent systems
 Real production impact with sophisticated ML challenges – Build ML systems that analysts and financial professionals actually use daily; solve hard problems at the intersection of NLP, document intelligence, reasoning systems, and production-scale deployment; measure your impact in both model performance and business outcomes
 Accelerated career trajectory in AI leadership – High visibility to C-suite executives making billion-dollar strategic decisions; clear advancement paths to Principal ML Architect or AI Research Lead roles; opportunity to establish yourself as a recognized voice in financial AI and earn a reputation that opens doors across the industry
 
We'll Count on You To: 
Build transformative ML systems from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks (PyTorch, etc.), large language models, and emerging AI technologies that fundamentally change how analysts work and how Fitch operates
 Drive breakthrough AI innovation and experimentation boldly – Lead exploration of generative AI, multi-agent systems, RAG architectures, model fine-tuning, prompt engineering, and other emerging ML technologies; create cutting-edge proofs-of-concept; evaluate what's transformative versus what's hype; and turn research into production-quality AI capabilities
 Define ML technical vision and architecture for the future – Shape architectural decisions for ML systems, establish ML engineering standards, drive technology and framework choices, and influence how Fitch approaches intelligent platforms and AI governance across the organization
 Lead through innovation, influence, and mentorship – Mentor and coach fellow ML engineers while partnering with product squads, business stakeholders, and cross-functional teams to translate ambitious AI ideas into elegant technical solutions; foster a culture of experimentation, continuous learning, and calculated risk-taking
 Champion ML excellence while moving fast – Balance innovation velocity with ML engineering best practices; implement robust CI/CD pipelines for ML systems; develop scalable APIs (FastAPI, etc.) for model deployment; solve novel technical challenges at the intersection of cutting-edge AI research and production systems; and build solutions that are both breakthrough and reliable
 Drive ML governance and operational excellence – Ensure adherence to AI/ML governance guidelines, monitor SLAs for AI solutions, optimize model performance and reliability, and translate complex ML concepts for both technical and non-technical audiences across distributed teams
 Shape team culture and technical direction – Help define how our AI innovation teams operate, what "good" looks like for ML engineering, and how we balance exploration with delivery; model the curiosity, boldness, and technical rigor needed to succeed in a greenfield ML innovation environment
 
What You Need to Have: 
Deep ML technical expertise – 12+ years of professional experience building production AI/ML systems, with strong proficiency in Python, ML algorithms (from classical techniques to deep learning), and modern ML frameworks; proven track record of delivering advanced generative AI and ML solutions
 ML architectural mastery and greenfield experience – Demonstrated experience designing scalable ML systems from scratch; deep understanding of ML system architecture, model deployment patterns, and the ability to make bold architectural decisions for AI platforms in ambiguous environments
 Advanced generative AI expertise – Extensive hands-on experience developing and integrating generative AI solutions, working with large language models, building agentic systems, implementing RAG architectures, and training/fine-tuning neural networks using frameworks like PyTorch
 Bachelor's degree in Machine Learning, Computer Science, Data Science, Applied Mathematics, or related field
 Production ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow orchestration (Airflow), automated testing for ML systems, and API development for model deployment
 Technical leadership and influence – Track record of mentoring and coaching engineers, driving ML initiatives in fast-moving environments, leading through technical excellence and influence rather than authority, and building credibility through results and vision
 Innovation and experimentation mindset – Demonstrated history of exploring emerging ML technologies, building AI proofs-of-concept, learning from failures, and translating cutting-edge research into production systems; comfort with ambiguity and rapid technological change
 Outstanding collaboration and communication – Ability to articulate ML technical vision to diverse audiences, work effectively with product squads and business partners, translate complex AI/ML concepts for non-technical stakeholders, and bring your whole self while remaining open to others' perspectives
 
What Would Make You Stand Out: 
Cutting-edge AI research to production experience – Track record of taking breakthrough AI capabilities from research/prototype to production-scale deployment; experience supporting seamless transitions from experimentation to enterprise-grade ML systems with real users
 ML thought leadership and technical strategy – History of establishing technical direction for ML initiatives, contributing to open-source ML projects, speaking at AI/ML conferences, publishing research, or writing about practical applications of emerging AI technologies
 Multi-agent and agentic systems expertise – Hands-on experience building multi-agent systems, agentic workflows, tool-using AI systems, or complex AI orchestration platforms that go beyond simple LLM integrations
 Advanced cloud-native ML infrastructure – Deep expertise building sophisticated ML infrastructure, MLOps pipelines, model serving platforms, and cloud-native AI systems at scale; experience optimizing cost and performance of production LLM deployments
 Financial services or analytical domain knowledge – Understanding of analytical workflows, credit analysis processes, regulatory requirements, financial data products, or how ML enables better financial decision-making; familiarity with credit ratings agencies is a significant advantage
 Startup or innovation team experience – History of building greenfield ML products, working in fast-paced AI innovation environments, or being part of 0-to-1 ML initiatives within larger organizations where you shaped technical direction
 Toronto AI/ML community connection – Active participation in Toronto's AI/ML research or engineering communities, connections to academic ML research groups, or strong interest in being part of Toronto's world-class AI ecosystem
 
If you're ready to build transformative ML systems with organizational backing, talented colleagues, and the resources to succeed—this is the moment to join us.
 
Why Fitch?
 
At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.
 
Every team member is essential to our business, and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.
 
We are building incredible things at Fitch and we invite you to join us on our journey.
 
About Fitch Group
 
Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings | Fitch Solutions | Fitch Learning.
 
For more information please visit our websites: www.fitchratings.com | www.fitchsolutions.com | www.fitchlearning.com
 
Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.
 
Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
 
FOR CHICAGO ROLES ONLY: Expected base pay rates for the role will be between 140,000 CAD and 175,000 USD. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch’s total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.
 
#LI-Group
 
#LI-AT
 
#LI-Hybrid

Machine Learning Engineer, Associate Director (Chicago)

The University of Chicago

<div>Department
PSD Data Science: AI Weather Research Staff 
About the Department
The Data Science Institute (DSI) at the University of Chicago was established to support the development of emerging efforts in data science across the University. The staff in the Data Science Institute support the University's community of scholars, their shared ideals, and the core values that make the University a singular intellectual destination. Together with the University's deans and department chairs, the DSI provides the opportunities, infrastructure, and resources that encourage our faculty and other scholars to pursue their finest work. We are part of the Physical Sciences Division, which includes departments and several interdisciplinary research institutes and centers. 
Job Summary
The Data Science Institute's AI for Climate (AICE) research initiative seeks an Associate Director to support and advance the operational, programmatic, and people-management functions of the initiative. Reporting to the Director of AI for Weather, the Associate Director serves as a key operational leader responsible for the day-to-day execution of the initiative's research and administrative programs, team coordination, stakeholder engagement, and budget oversight. This role works closely with the Director to translate initiative-level strategy into concrete program plans and ensures that researchers, postdoctoral scholars, and administrative staff are well-supported in their work. The Associate Director exercises significant independent judgment and serves as a senior point of continuity for the initiative in the Director's absence. The role oversees program strategy, stakeholder engagement, and cross-institutional convening for one or more lead project efforts, while overseeing communications and providing higher-level continuity across the broader HCWF/AICE portfolio.
Responsibilities<div><div><ul><li>
Collaborates with the Director of AI for Weather to coordinate and execute the initiative's daily operations and program portfolio, translating strategic goals into actionable work plans.</li></ul></div><div><ul><li>
Performs ongoing assessment of program organization and function; identifies operational gaps, recommends improvements, and implements solutions.</li><li>
Leads and manages special projects or functions related to the research of the initiative, as assigned by the Director.</li><li>
Oversees the initiative's communications and ensures senior-level continuity on administrative matters directly tied to active program work.</li><li>
Assists the Director in overseeing hiring, performance evaluation, and professional development for initiative staff, in coordination with DSI HR and administrative leadership.</li><li>
Supports and coordinates engagement with initiative sponsors, government partners, foundations, and international collaborators; serves as a programmatic point of contact for active projects.</li><li>
Acts as a liaison between the AI for Climate initiative and other University departments, the Physical Sciences Division, and relevant compliance and sponsored research offices.</li><li>
Monitors the AI for Climate initiative budget; provides the Director with regular financial updates, ensures spending is within approved limits, and makes budgetary recommendations.</li><li>
Supports proposal development for grants and contracts; assists in preparing reports for funders and tracks grant deliverable timelines.</li><li>
Coordinates action items and participants for scientific meetings; develops sufficient technical fluency in AI and climate topics to communicate effectively with researchers and external partners.</li><li>
Develops and communicates program priorities and performance standards and assesses operations using these criteria. Plans and conducts quality assurance reviews and recommends changes as appropriate.</li><li>
Has a deep understanding when interacting with faculty, researchers and staff for committee work or information.</li><li>
Performs other related work as needed.</li></ul></div></div> 
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:
-<div><div>
Preferred Qualifications</div><div> 
Education:</div><div><ul><li>
PhD in a scientific, environmental, policy, or related field.</li></ul></div><div> 
Experience:</div></div><div><div><ul><li>
Progressive experience in program or research administration, science management, or a closely related field.</li><li>
Experience in climate science, atmospheric science, AI/ML research, or adjacent scientific domains.</li><li>
Demonstrated experience coordinating multi-institutional or interagency stakeholders, including funders, government partners, and/or collaborators.</li><li>
Experience managing or contributing to program or project budgets.</li><li>
Prior experience in an Associate Director or senior manager-level role in an academic, research, or science-policy environment.</li><li>
Experience with international program coordination or cross-sector (academia&ndash;government&ndash;industry) partnership management.</li><li>
Familiarity with the grant lifecycle, from proposal development through reporting and closeout.</li><li>
Demonstrated ability to manage multiple concurrent initiatives independently in a fast-paced, cross-functional environment.</li></ul></div><div> 
Preferred Competencies</div><div><ul><li>
Strong written and verbal communication skills, including experience drafting reports, briefings, or proposals for varied audiences.</li><li>
High degree of professionalism and emotional intelligence; ability to build trust and collaborate across faculty, staff, and external partners.</li><li>
Self-starter who can operate with significant independence in a complex administrative environment.</li><li>
Strong analytical and organizational skills; attention to detail balanced with capacity for big-picture thinking.</li><li>
Ability to manage multiple high-priority tasks simultaneously and under tight deadlines.</li><li>
Commitment to an inclusive team culture and equitable people-management practices.</li><li>
Ability to handle sensitive and confidential information with utmost discretion.</li><li>
Proficiency in Microsoft Office and familiarity with project and grants management tools.</li></ul></div></div><div><div> 
Working Conditions</div><div><ul><li>
This position is eligible for a hybrid work arrangement consistent with DSI and University policies.</li><li>
The role may require occasional travel to represent the initiative at conferences, partner institutions, or funder meetings.</li><li>
May involve extended time working at a computer and engagement with teams across multiple time zones.</li></ul></div><div> 
Application Documents</div><div><ul><li>
Resume/CV (required)</li><li>
Cover letter (required)</li><li>
List of three professional refernces (preferred)</li></ul></div></div> 
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
Administration &amp; Management 
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
$90,000.00 - $110,000.00
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>

Associate Director - AI for Weather

Huron Consulting Group

<div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. 
 
Join our team as the expert you are now and create your future.
We are looking for an organized and technically savvy Technical Project Manager to join our AI practice. You will coordinate delivery pods that bring AI-powered solutions to life for our clients in industries such as higher education, healthcare, and utilities. 
 
You&rsquo;ll serve as the bridge between client stakeholders and our AI delivery team, ensuring alignment on requirements, delivery milestones, and quality expectations. You&rsquo;ll help translate business goals into actionable plans, track progress, and guide teams through execution to successful deployment. 
 
If you enjoy blending project management discipline with technical understanding, and thrive in fast-moving, client-facing environments, this role is for you.
Key Responsibilities
<ul><li>Lead delivery pods made up of AI Engineers, Solution Architects, and Analysts to deliver projects on time and with high quality.</li><li>
Partner with client stakeholders to clarify scope, gather requirements, and align priorities.</li><li>
Translate client objectives into technical deliverables and actionable user stories for the AI development team.</li><li>
Manage agile ceremonies, including sprint planning, backlog management, and release readiness.</li><li>
Track milestones, risks, and dependencies, reporting delivery progress to leadership and clients.</li><li>
Coordinate testing, documentation, and handoff for production deployment.</li><li>
Promote consistency and efficiency by applying standard delivery frameworks and best practices across engagements.</li></ul>
Preferred Qualifications
<ul><li>4+ years of experience managing software or AI/ML projects, ideally in a consulting or client delivery setting.</li><li>
Strong knowledge of agile delivery, backlog management, and release coordination.</li><li>
Ability to communicate effectively with business and technical audiences.</li><li>
Familiarity with AI solution development lifecycles is preferred.</li><li>
Bachelor&rsquo;s degree in Engineering, Computer Science, or related field; PMP or Agile certification is a plus.</li></ul>
Flexible living locations across US or Canada, ability to travel as needed.
The estimated base salary for this job is $115,000 - $140,000 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 $132,250 - $168,000 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-CL1 
#LI-HYBRID<h2 class="jobSectionHeader">
Position Level</h2>
Senior Associate<h2 class="jobSectionHeader">
Country</h2>
United States of America</div>

AI Tech Team - Technical Project Manager (Sr Associate)

Find 23+ jobs in Chicago this September. Browse openings in tech, marketing, sales, and more. Start your job search now.