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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

The University of Chicago

<div>Department
BSD BMB - Kossiakoff Lab 
About the Department
The Department of Biochemistry and Molecular Biology studies how biomolecules function and interact to drive the complex, diverse, and adaptive behaviors of living systems. Our focus is on biological mechanisms described at the atomic level. We are highly collaborative and often employ multiple approaches to address otherwise intractable questions. We have particular strengths in membrane proteins and RNA biochemistry and are pioneers in all areas of biophysics, structural biology, biochemistry, and protein engineering and design. 
Job Summary
The Kossiakoff Lab focuses on developing technology to generate synthetic antibodies for basic and applied research. These synthetic antibodies are important for biotherapeutic drug discovery projects and for tools in structural biology applications. The Lab is highly interdisciplinary and requires team members to develop a range of technical skills, especially expertise in cell biology. There is also a need to work effectively in a team environment. The envisioned projects require working with tumor samples and performing in vitro antibody binding and cytotoxicity assays. A significant component of the work will require expertise in in vivo mouse studies.
Responsibilities<ul><li>
Performs experiments and collects and analyzes data. Participates in the promotion of a research project.</li><li>
Participates in the preparation and writing of grant applications and reports, and co-authors/authors scientific research manuscripts. Provides peer review of grant applications and scientific manuscripts.</li><li>
Collaborates on development of new research projects with academic and community-based organizations.</li><li>
Performs other related work as needed.</li></ul> 
Minimum Qualifications
Education:
Minimum requirements include a PhD in related field. 
Work Experience:
Minimum requirements include knowledge and skills developed through &lt; 2 years of work experience in a related job discipline. 
Certifications:
-
Preferred Qualifications
Experience:<ul><li>
Bench experience with cell-based assays and flow cytometry.</li><li>
Tumor tissue sample analysis.</li><li>
In vivo mouse models of cancer.</li><li>
At least one peer-reviewed publication in a related field.</li></ul>
Preferred Competencies<ul><li>
Excellent verbal and written communication skills.</li><li>
Ability to maintain calm and courteous demeanor and to work productively despite heavy workload, competing priorities, complex problems, and tight deadlines.</li><li>
Excellent problem-solving skills required. Ability to use appropriate resources to resolve an issue.</li><li>
Ability to follow an issue through to resolution.</li><li>
In vivo mouse study capability.</li><li>
In vivo animal imaging.</li><li>
Considerable skill in working both independently and as a team member.</li><li>
Ability to take initiative and organize and complete projects with minimal supervision.</li></ul>
Working Conditions<ul><li>
Research Lab setting.</li></ul>
Application Documents<ul><li>
Resume/CV (required)</li><li>
Cover letter (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
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
$60,000.00 - $80,000.00
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>

Research Professional

TransUnion

<div>TransUnion's Job Applicant Privacy Notice
Personal Information We Collect
Your Privacy Choices
Team Overview
This role reports directly to Senior Manager, Data Science &amp; Analytics within the AI R&amp;D organization. This team is responsible for evaluating, developing and advancing next-generation AI capabilities that can create strategic advantage for TransUnion and its customers by engaging with TransUnion&rsquo;s internal clients across a broad array of credit, fraud, insurance and marketing business applications. You&rsquo;ll join a team that encourages curiosity, innovation, and scientific exploration with access to access to large-scale consumer, marketing, fraud, and risk datasets for applied AI research and opportunities to shape the future direction of AI-powered products and solutions across TransUnion's businesses.&amp;#xa;&amp;#xa;This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Role Overview and Core Responsibilities
<ul><li>Modern cloud-based computing environments and access to state-of-the-art AI infrastructure for experimentation and rapid prototyping.
</li><li>The freedom to investigate and evaluate emerging AI paradigms including neuro-symbolic systems, causal AI, knowledge graphs, autonomous agents, reasoning systems, and trustworthy AI.
</li><li>Opportunities to publish, patent, present, and contribute to TransUnion's long-term innovation strategy.
</li><li>Lead exploratory research initiatives focused on emerging AI techniques and their business applicability.
</li><li>Drive innovation in areas such as: neuro-symbolic AI, reasoning systems, knowledge-enhanced machine learning, agentic AI, causal AI, explainable AI, human-AI collaboration.
</li><li>Anticipate AI technology trends and assess their implications for TransUnion's products and services.
</li><li>Design, build, and evaluate proof-of-concepts and prototypes that demonstrate the value of emerging AI technologies.
</li><li>Create repeatable frameworks for assessing AI capabilities, limitations, risks, and business impact.
</li><li>Collaborate with engineering teams to transition successful research concepts into production-ready solutions.
</li><li>Represent TransUnion through publications and patents.
</li></ul>Required Knowledge and Experiences
<ul><li>Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, Data Science, Applied Mathematics, Engineering, Operations Research, or a closely related quantitative discipline
</li><li>8+ years of professional experience in AI, machine learning, advanced analytics, or related quantitative fields
</li><li>Strong foundation in one or more of the following areas: Classical AI, knowledge representation via ontology, knowledge graphs and graph neural networks, automated reasoning systems, search and planning algorithms, causal inference and causal modeling, probabilistic graphical models, explainable and trustworthy AI
</li><li>Advanced programming skills in Python and familiarity with modern AI development frameworks
</li><li>Familiarity with consumer data, fraud detection, financial services, risk analytics, identity, or marketing applications
</li></ul>Benefits that support every part of your life:
At TransUnion, we design benefits to help you feel well, do well, and plan well&mdash;from day one.
For Your Health : Enjoy day-one eligibility for medical, dental, and vision coverage, plus supplemental plan options. Spousal, domestic partner, and other eligible dependent coverage is available on select plans. Choose tax‑advantaged HSA and FSA accounts to make everyday care more affordable.
For Your Protection : We&rsquo;ve got your back with company‑paid basic life and AD&amp;D, optional voluntary life and AD&amp;D for you and your family, and short‑ and long‑term disability. You can also opt into a legal plan, pet insurance, and travel accident coverage.
For Your Family : From adoption assistance and fertility planning coverage to caregiver support, we&rsquo;re here for every chapter. Access Dependent Care FSA for possibility of an employer match, a complimentary Care@Work membership, and up to 12 weeks of paid parental leave with eligibility for a thoughtful, gradual return.
For Your Future : Build toward what&rsquo;s next with our 401(k) with employer match and Employee Stock Purchase Plan (ESPP). Tap financial wellness resources, career coaching, and optional long‑term care insurance to plan confidently.
For You : Grow and recharge with tuition reimbursement, flexible time off for exempt employees or paid time off for nonexempt employees, up to 12 paid holidays per year, commuter benefits, employee discounts, charitable gift matching, and paid volunteer time off, plus corporate volunteer events that make it easy to give back.
For Your Wellness : Access 24/7 support including professional therapy, coaching, and emotional well‑being programs alongside guided meditation and resources that support physical, mental, social, and financial wellness.
We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans&rsquo; Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion&rsquo;s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com .
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.
Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company&rsquo;s reputation are also essential expectations of this position.
<h2 class="jobSectionHeader">Pay Scale Information:
</h2>The U.S. base salary range for this position is $112,500.00 - $187,500 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual&rsquo;s education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion&rsquo;s annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents.&amp;#xa;
TransUnion Overview:
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good , which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver&rsquo;s seat of their professional development&mdash; while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that&rsquo;s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence. 
Be a part of our Workforce for Good &ndash; you&rsquo;ll work with great people, pioneering products and cutting-edge technology.
TransUnion's Internal Job Title:
Advisor, Data Science and Analytics
Company:
TransUnion LLC</div>

AI Research & Innovation Lead

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)

Explore 4+ Special education classroom aide in Chicago this September. Find roles across top companies and apply now to boost your career.

4 special education classroom aide jobs In Chicago

driver

Research Professional

AI Research & Innovation Lead

Machine Learning Engineer, Associate Director (Chicago)