artificial intelligence engineer Jobs in Chicago

artificial intelligence engineer

ai platform engineer

ai product engineer

ai/ml engineer 

analytics engineer

machine learning engineer

Uber

<div><b>About the Role</b>
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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.
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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.
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<b>What You'll Do</b>
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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.
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<b>Basic Qualifications</b>
<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><b>Preferred Qualifications</b>
<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<br>
<li>
</li></ul><br>
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For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year.<br>
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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.<br>
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For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.<br>
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For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.<br>
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For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.<br>
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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.<br>
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<b>Ready to Ride?</b><br>
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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.<br>
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You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
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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.<br>
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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

J2B GLOBAL LLC

<div><div><div><div><h3 class="jobSectionHeader"><b>Principal ML Engineer</b></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><p></p><div><p> </p><p>Refer</p></div></div>

Principal ML Engineer

Caterpillar

<div><p><b>Career Area:</b></p>
Technology, Digital and Data<p></p><p><b>
Job Description:</b></p><p></p><p><b>
Your Work Shapes the World at Caterpillar Inc.
</b></p><p></p><p>When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.</p><p></p><p><i>
Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers.</i> <i>With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world</i></p><p><br>
As a Data Scientist in the aftermarket analytics team, you will drive parts and services growth by building data-driven solutions that enhance digital products and customer experiences. You will apply analytics and machine learning to solve complex problems, with a focus on personalization and recommendations. You will partner with cross-functional teams, owning components of projects end-to-end while contributing to high-impact solutions that deliver measurable business value.</p><p></p><p><b>
What You Will Do:</b></p><ul><li>
Apply machine learning, statistical modeling, causal inference, and emerging GenAI techniques to understand customer behavior and deliver recommendation and personalization solutions that drive measurable business value</li><li>
Develop and deploy data-driven solutions that optimize digital experiences, including recommendation systems and AI-powered assistants (e.g., conversational insights, targeting, and sales enablement use cases)</li><li>
Partner with product, engineering, and business stakeholders to translate business problems into scalable analytical and AI-driven solutions</li><li>
Own components of analytics and data science projects end-to-end, from exploration and modeling to delivering production-ready insights or features</li><li>
Demonstrate strong initiative to research and apply new techniques, including GenAI approaches, to improve customer impact</li><li>
Communicate findings clearly to technical and non-technical audiences, influencing decisions through data-driven storytelling</li></ul><p></p><p><b>
What you will have:
</b></p><ul><li><b>Analytical Thinking:</b> Extensive ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems; Knowledge of techniques and tools that promote effective analysis.</li><li><b>
Data Cleaning, Analysis, and Preparation:</b> Working knowledge in conducting exploratory data analysis to extract meaningful patterns, trends, and insights from complex datasets, including data mining and cleaning initiatives and writing, debugging and implementing queries involving multiple tables or databases.</li><li><b>
Machine Learning:</b> Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Experience completing specific tasks and initiatives utilizing machine learning technologies, such as classification, regression, or optimization and specific tools and techniques to process descriptive and inferential statistics.</li><li><b>
Programming Languages:</b> Experience and fluency with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li><li><b>
Collaboration &amp; Effective Communication:</b> Experience working closely with cross-functional teams, providing data-driven insights and collaborating on projects to solve business challenges.</li></ul><p></p><p><b>
Consideration for top candidates:</b></p><ul><li>
Bachelors, Masters, or PhD degree in statistics, economics, mathematics, data science or similar degree</li><li>
Experience utilizing quantitative analysis, or a Master&rsquo;s degree or PhD in related field</li><li>
Experience in eCommerce and/or digital products domains</li><li>
Experience with advanced data analysis and statistical methods including regression and hypothesis testing</li><li><div>
Practical applications of machine learning techniques, including Collaborative Filtering, Clustering, and emerging GenAI techniques</div></li><li>
Strong technical and problem-solving skills and evidence of continuous learning in the analytics field</li><li>
Experience leading analytics projects connecting data from various business domains and providing forecasts and insights to run the business profitably</li><li>
Experience with cloud technologies (AWS, Azure, Snowflake, Google Cloud, etc.)</li></ul><p></p><p><b>
Additional Details:</b></p><ul><li>
This position requires the candidate to be in Chicago, IL</li><li>
Relocation assistance is NOT available for this position</li><li>
Visa sponsorship is NOT available with this position.</li></ul><p></p><p><b>
Summary Pay Range:</b></p><p></p>
$97,530.00 - $158,480.00<p></p><p>
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
</p><p></p><p><b>Benefits:</b></p><p>
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.</p><ul><li><p>
Medical, dental, and vision benefits*</p></li><li><p>
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</p></li><li><p>
401(k) savings plans*</p></li><li><p>
Health Savings Account (HSA)*</p></li><li><p>
Flexible Spending Accounts (FSAs)*</p></li><li><p>
Health Lifestyle Programs*</p></li><li><p>
Employee Assistance Program*</p></li><li><p>
Voluntary Benefits and Employee Discounts*</p></li><li><p>
Career Development*</p></li><li><p>
Incentive bonus*</p></li><li><p>
Disability benefits</p></li><li><p>
Life Insurance</p></li><li><p>
Parental leave</p></li><li><p>
Adoption benefits</p></li><li><p>
Tuition Reimbursement</p></li></ul><p>
</p><ul><li>These benefits also apply to part-time employees</li></ul><p></p>
Visa Sponsorship is not available for this position.<p></p><p><b>
Posting Dates:</b></p><p></p><p>
Any offer of employment is conditioned upon the successful completion of a drug screen.</p><p></p><p>
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.</p><p></p><p>
Not ready to apply? Join our Talent Community.</p></div>

Data Scientist, eCommerce Analytics

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
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<div>We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
</div><div></div><div>As a Software Engineer III at JPMorganChase within the Commercial &amp; Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</div><div>
</div><div><b>Job responsibilities</b></div><div>
</div><ul><li>Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</li><li>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li><li>
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems</li><li>
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture</li><li>
Contributes to software engineering communities of practice and events that explore new and emerging technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul><div>
</div><div></div><div><b>Required qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Formal training or certification on software engineering concepts and 3+ years applied experience</li><li>
Must be a US Citizen</li><li>
Experience with popular frameworks like core Java &amp; Spring framework, OpenAPI specifications for building robust enterprise-level applications.</li><li>
Advanced experience with Java, J2EE and SQL server</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages</li><li>
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.</li><li>
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.</li><li>
Experience across the whole Software Development Life Cycle</li><li>
Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li></ul><div>
</div><div></div><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Familiarity with modern front-end technologies like React/Angular</li><li>
Experience in Web based development experience with modern JavaScript libraries like Angular.js.</li><li>
Exposure to cloud technologies like AWS</li></ul>
<b>ABOUT US</b><br>
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<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
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<b>ABOUT THE TEAM</b>
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J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

FullStack Java Software Engineer III - React / AWS

Kirkland & Ellis

<div><p><b>About Kirkland &amp; Ellis</b>
</p><p>At Kirkland &amp; Ellis, we don&rsquo;t just meet the standard for legal excellence &mdash; we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 24 offices worldwide. Our dedicated professionals share our lawyers&rsquo; commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.</p><p><b>
What You&rsquo;ll Do</b>
</p><p>Are you passionate about turning complex data into meaningful insights that drive business decisions?</p><p>
As a Business Intelligence Data Modeler Engineer II, you&rsquo;ll play a critical role in shaping how data is structured, accessed, and for enterprise business intelligence. Partnering closely with business analysts, data engineers, and business stakeholders, you&rsquo;ll design and support development of data models that power reporting, analytics. This role blends technical expertise with business insight, giving you the opportunity to influence how data supports enterprise-wide decision-making.</p><div><ul><li><br>
Data Modeling Design: Create and maintain conceptual, logical, and physical data models that support reporting and analytics across enterprise systems.</li><li>Business Partnership: Collaborate with stakeholders to translate business needs into scalable data structures and solutions.</li><li>ETL Development Support: Contribute to the design of Extract, Transform, Load (ETL) processes to ensure efficient data movement into Business Intelligence (BI) platforms and warehouses.</li><li>Data Quality &amp; Validation: Implement checks and rules to ensure data accuracy, consistency, and reliability across systems.</li><li>Performance Optimization: Continuously monitor and refine data models and database performance for efficient querying and reporting.</li><li>Documentation &amp; Governance: Maintain clear documentation of models, schemas, and data flows while adhering to data governance standards.</li><li>Data Security: Help design access controls and security measures to protect sensitive data.</li><li>Advanced Querying: Develop and utilize Structured Query Language (SQL) queries for ad hoc analysis, troubleshooting, and data validation.</li><li>Agile Collaboration: Participate in Agile workflows across analysis, development, quality assurance (QA), and user acceptance testing (UAT) phases as a data subject matter expert.</li><li>Domain Expertise: Build strong knowledge of business systems and data domains to support strategic initiatives.</li><li>Continuous Learning: Stay current with evolving technologies and industry trends in data modeling and analytics.</li></ul></div><p><b><br>
What You&rsquo;ll Bring</b>
</p><ul><li>Education: Bachelor&rsquo;s degree in computer science, a related field, or equivalent practical experience.</li><li>Experience: 7+ years of experience in data modeling, data warehousing, and ETL processes.</li></ul><div>
Required<br>
<ul><li>Data Modeling Expertise: Strong Hands-on experience of dimensional modeling, fact tables, star/snowflake schemas, slowly changing dimensions (SCDs), and tools like Erwin.</li><li>Technical Skills: Expertise with SQL (including Transact-SQL) and deep experience with relational database systems such as Microsoft SQL Server.</li><li>Data Engineering Knowledge: Experience with data pipelines using ETL or Extract, Load, Transform (ELT) techniques and tools such as Azure Data Factory (ADF) to load data into analytics data marts, data warehouses and data lakes. Experience with analytics data platforms such as Azure Synapse Analytics, OneLake or Microsoft Fabric.</li><li>Analytics &amp; BI Tools: Familiarity with Business Intelligence (BI) platforms such as Microsoft Power BI and Qlik Sense, and experience supporting enterprise reporting.</li><li>Programming &amp; Scripting: Exposure to Python, PySpark, Databricks, or programming languages like Java or C# is a plus.</li><li>Data Governance &amp; Security: Understanding of data governance principles, access controls, and data protection best practices.</li><li>Business Acumen: Experience working with operational analytics domains such as Human Resources (HR), Finance, or Risk Management; professional services industry experience is a plus.</li><li>Collaboration &amp; Communication: Strong problem-solving, interpersonal, and communication skills with the ability to work cross-functionally.</li><li>Work Style: Highly organized, self-motivated, and able to thrive in a fast-paced, Agile project environment managing multiple priorities.</li></ul></div><p>
If you&rsquo;re ready to help shape how data drives smarter decisions and deliver impactful insights as a Business Intelligence Data Modeler Engineer II, we&rsquo;d love to hear from you!<br>
</p><p><b>Compensation</b>
</p><p>The base salary range below represents the low and high end of the salary range for this position in Chicago. This range may differ based on your geographic location and cost of living considerations. At Kirkland &amp; Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.</p><p>
Compensation Range:</p><p>
Chicago: $116,000 - $144,000</p><p><b>
How to Apply</b>
</p><p>Thank you for your interest in Kirkland &amp; Ellis LLP. To complete an application and submit your resume, please click &quot;Apply Now.&quot;</p><p><i>
Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.</i></p><p>
</p><p><b>Equal Employment Opportunity</b>
</p><p>All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee&rsquo;s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. #LI-Hybrid #LI-CF1</p></div>

Business Intelligence Data Modeler Engineer II

United Airlines

<div>Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.<br>
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Come join us to create what&rsquo;s next. Let&rsquo;s define tomorrow, together.<br>
<h2 class="jobSectionHeader"><b>
Description</b></h2><p>
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architecture, data analytics, and digital solutions.</p><p><b>
Job overview and responsibilities</b></p><p>
The Senior Software Developer will play a critical role in modernizing the schedule development process within Network Planning. This role will be responsible for delivering end-to-end cloud-based solutions while also supporting and enhancing existing applications. The ideal candidate will work with enterprise-grade integration technologies, contribute to scalable application design, and help advance the team&rsquo;s technical capabilities.</p><p><b>
Key responsibilities include:</b></p><ul><li><b>
Full lifecycle development:</b> Participate in and manage all phases of the software development lifecycle, including requirements analysis, design, development, documentation, testing,, and support using Agile methodologies.</li><li><b>
Technical leadership:</b> Serve as a technical expert on development projects. Collaborate with internal employees and vendor partners to plan, design, and deliver high-quality solutions.</li><li><b>
Solution design &amp; architecture:</b> Lead and participate in software design discussions, analyze user needs, define technical requirements, and create technical specifications based on business requirements and conceptual designs.</li><li> <b>Application support and maintenance:</b> Support, maintain, and document application functionality; analyze code to identify root causes of issues and implement improvements as needed.</li></ul><p></p><ul><li><b><br>
Collaboration &amp; prototyping:</b> Partner with business users and technology teams to prototype, refine, test, and debug solutions to ensure applications meet business needs.</li><li><b>
Innovation</b>: Identify and evaluate emerging technologies for implementation to continually improve system results.</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Qualifications</b></h2><p><b>
What&rsquo;s needed to succeed (Minimum Qualifications):</b></p><ul><li>
Bachelor's degree in Computer Science, Computer Engineering, Management Information Systems or related field</li><li>
5&ndash;7+ years of experience designing, developing, documenting, testing, and debugging large-scale distributed applications using Python, Java, or C++, with strong SQL skills.</li><li>
Hands-on experience implementing AWS technologies, including Lambda, Step Functions, CloudWatch, CloudFront, Route 53, ECS, EC2, S3, RDS, API Gateway, and Secrets Manager.</li><li>
Full-Stack development experience, including UI development, APIs, JSON, and XML.</li><li>
Experience with cloud automation and CI/CD tools, such as GitHub, Harness and Artifactory Cloud.</li><li>
Strong understanding of Object-Oriented design principles and application development best practices</li><li>
Excellent communication, leadership, data validation, and documentation skills.</li><li>
Must be legally authorized to work in the United States for any employer without sponsorship.</li><li>
Successful completion of an interview is required to meet job qualifications. Reliable, punctual attendance is an essential function of this position.</li></ul><p><b>
What will help you propel from the pack (Preferred Qualifications):</b></p><ul><li>
Experience incorporating modern AI tools such as Claude, Agentic AI, or Copilot, into the software development lifecycle</li><li>
Hands-on experience in Machine Learning and AI design and development</li><li>
Experience with Julia language</li></ul><br>
The base pay range for this role is $112,480.00 to $146,540.00.<br>
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.<br>
<br>
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident &amp; disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.<br>
<br>
United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact JobAccommodations@united.com</div>

Senior Developer - Information Technology

Rush University Medical Center

<p></p><div><p><b>Location: </b>Chicago, Illinois
</p><p><b>Business Unit: </b>Rush Medical Center
</p><p><b>Hospital: </b>Rush University Medical Center
</p><p><b>Department: </b>Research Computing
</p><p><b>Work Type: </b>Full Time Remote (Total FTE between 0.9 and 1.0)
</p><p><b>Shift: Shift 1
</b></p><p><b>Work Schedule: </b>8 Hr (8:00:00 AM - 5:00:00 PM)
</p><p><b>Rush offers exceptional rewards and benefits learn more at our </b>Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).
</p><p><b>Pay Range: </b>$34.61 - $51.57 per hour
<br>
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush&rsquo;s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.
</p><p>Summary:
<br>
The Analyst will support the research, clinical, quality improvement, and business data analysis needs of Rush University Medical Center. The Analyst will assist clinical faculty and Principal Investigators to identify and gather necessary data that span operational through research needs and will build databases to permit queries. The analyst will have a direct reporting relationship to the Knowledge Management Team, Medical Director, and Chief Analytics Officer, who are the subject matter experts in data access and research data requests. Exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.
</p><div>Other information:
<br>
Required Job Qualifications:
<br>
<ul><li>Master's degree in information science, computer science, epidemiology, biostatistics, or equivalent technical experience.
</li><li>Strong analytic, issue resolution, and facilitation skills.
</li><li>Demonstrated proficiency writing SQL stored procedures or queries.
</li><li>Able to present complex information in an understandable and compelling manner.
</li><li>Able to prioritize and multi-task to manage expectations of multiple stakeholders.
</li><li>Able to deliver high quality, timely work product with significant autonomy.
</li><li>Effectively adapts to rapid changes in project or data requirements and changing directions.
</li><li>Strong written and verbal communication.
</li><li>Effective interpersonal and teamwork skills.
</li><li>Expertise with data and analytics tools.
</li><li>Experience querying and analyzing data with SQL programming language or equivalent tools.
</li></ul><br>
Preferred Job Qualifications:
<br>
<ul><li>At least three years of experience in statistical software (e.g. SAS or R), with data science experience.
</li><li>Some experience in the health care setting.
</li><li>Familiarity with healthcare industry or healthcare information systems.
</li><li>Experience with Epic.
</li><li>Experience with financial /claims data.<br>
</li></ul></div><div>Responsibilities:
<br>
<ul><li>Gather business/data requirements from clinical faculty and Principal Investigators and collaborate on the best way to design studies or to build study cohorts based on the Analyst's knowledge of available systems. Acts as interface between clinical experts and IT to determine feasibility, timelines, and cost of date requests.
</li><li>Uses third party software tools and research data warehouse in development of queries and visualizations. Creates research data marts using the enterprise IT architecture.
</li><li>Serves as representative for the KM Team on committees and initiatives that involve multi-site studies to facilitate IT and research informatics collaborations.
</li><li>Participates in analytics-based projects that leverage data collected from electronic medical records to measure and predict patient outcomes.
</li><li>Works with statisticians and mathematicians to design predictive models using statistical and machine learning methods that will predict patient outcomes.
</li><li>Develops analytic data sets for research and operations and uses statistical software (SAS or R) to analyze data sets as requested by departmental faculty.
</li><li>Produces reports that facilitate evidence-based clinical and financial decisions.
</li><li>Works with CRIO/CMIO/Knowledge Management team to develop new data queries and toolsets.
</li><li>Member of the IT business intelligence/knowledge management team at Rush. Maintains peer relationship and collaborative knowledge exchange with IT counterparts.
</li></ul></div><p>Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.</p></div>

Clinical Data Analyst

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