machine learning engineer

ai engineering intern - summer 2026 Jobs in Chicago

ai engineering intern - summer 2026

ai/ml engineer 

applied machine learning engineer – ml & ai systems Jobs in Chicago

artificial intelligence engineer Jobs in Chicago

artificial intelligence engineer

ai ml engineer

<div>Role description 
AI/ML Engineer

ML Engineer I 


Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.

Visit us at UST.com. 


You Are:

UST is searching for an AI/ML Engineer, you must have 3-5 years MLOps with AWS + Databricks + Snowflake. 


The opportunity:
<ul><li> Build MCP Servers for CIE (expose scoring, rules, explainability as MCP tools via Model Context Protocol)</li></ul>
<ul><li> Integrate with AgentCore Gateway (JWT/mTLS authentication, entitlement checks, routing)</li></ul>
<ul><li> AWS Bedrock integration for LLM explainability via AI Marketplace subscription</li></ul>
<ul><li> PHI guardrails implementation (pre-request scanning, post-response masking for healthcare data)</li></ul>
<ul><li> MLflow model registry (versioning, A/B testing, rollback), Build CI/CD for model deployment</li></ul>
<ul><li> Feature store integration (Databricks Feature Store MCP tools)</li></ul>
<ul><li> OpenTelemetry instrumentation (usage events emission to AI Marketplace metering)</li></ul>
<ul><li> MCP tool manifest registration (score_claim, explain_detection, provider_profile tools)</li></ul> 


This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. 
What you need:
<ul><li> AWS/ Databricks Certified (preferred) Python 5+ years</li></ul>
<ul><li> Familiarity with MCP Protocol (Model Context Protocol) - build MCP servers that expose tools</li></ul>
<ul><li> MLOps/MLflow 3+ years (model registry, serving) on AWS and Databricks</li></ul>
<ul><li> Databricks Model Serving production (REST API endpoints)</li></ul>
<ul><li> Snowflake UDF + external function deployment</li></ul>
<ul><li> OAuth2/JWT authentication + mTLS certificate handling</li></ul>
<ul><li> AWS Bedrock (LLM integration for explainability)</li></ul>
<ul><li> AgentCore Gateway integration (JWT validation, entitlement enforcement, tool routing)</li></ul>
<ul><li> PHI/HIPAA compliance (pre/post-request PHI scanning)</li></ul>
<ul><li> OpenTelemetry (usage event emission, distributed tracing)</li></ul>
<ul><li> REST API development (MCP tool endpoints)</li></ul>
<ul><li> Docker/containerization</li></ul>
<ul><li> Monitoring (Databricks, CloudWatch), Git + GitHub + CI/CD</li></ul>
<ul><li> Must understand MCP Protocol or willingness to learn (AWS AgentCore documentation)</li></ul>
<ul><li> Must have worked with OAuth2-secured APIs</li></ul> 


Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Illinois

Compensation Range: $72,000-$108,000 


Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws. 


What we believe:

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions. 


Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honor our commitments and act with responsibility in all our relationships. 


Equal Employment Opportunity Statement 
UST is an Equal Opportunity Employer. 


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. 


#UST

#CB

#LI-AP6 
Skills 
aws,hipaa compliance,aws databricks,json web token,rest api development,cicd,docker containerization, 
Benefits 
Compensation range: $72,000.00 to $108,000.00 per year 
About UST 
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

AI/ML Engineer 

Motorola Solutions

<div>
 
 Company Overview
 
 
 
 At Motorola Solutions, we believe that everything starts with our people. We&rsquo;re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that&rsquo;s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
 
 
 
 Department Overview
 
 
 
 Motorola Solutions, Inc.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Develop and implement analytics techniques to transform data into meaningful information using data-oriented programming languages, visualization software, data modeling, and machine learning to extract and analyze information.
 </li>
 <li>
 Research, evaluate, and test the latest Artificial Intelligence (AI)/ Machine Learning (ML) tools, protocols, and platforms to identify opportunities for internal adoption and technological advancement.
 </li>
 <li>
 Provide AI solution architecture support for business initiative and design end-to-end AI solutions that leverage emerging technologies to fulfill complex organizational requirements.
 </li>
 <li>
 Develop rapid functional AI/ML prototypes and proof-of-concept (PoC) applications to showcase advanced capabilities to internal and external stakeholders to drive business innovation.
 </li>
 <li>
 Design and implement one-off custom AI and ML use cases, utilizing cloud services and APIs to build scalable solutions that integrate seamlessly into existing enterprise applications.
 </li>
 <li>
 Provide technical consulting support and feedback for ongoing AI use cases, enhancements, and troubleshooting issues to ensure solution stability.
 </li>
 <li>
 Translate complex technical AI concepts into accessible language to ensure internal employees at all levels understand the functionality and value of available AI tools.
 </li>
 <li>
 Analyze, manipulate, and process large sets of data and visualize, interpret, and report data findings to support organizational goals.
 </li>
 <li>
 Telecommuting permitted from anywhere within the United States.
 
 
 </li>
 </ul>
 Target Base Salary Range: $96,928 to $131,800 USD
 
 
 Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate
 
 
 Basic Requirements
 
 
 <ul>
 <li>
 Masters degree + 1 years experience or
 </li>
 <li>
 Bachelors degree + 3 years experience.
 
 
 </li>
 </ul>
 Travel Requirements
 
 
 None
 
 
 Relocation Provided
 
 
 None
 
 
 Position Type
 
 
 Experienced
 
 
 Referral Payment Plan
 
 
 No
 
 
 
 Our U.S. Benefits Include
 
 
 
 <ul>
 <li>
 Incentive Bonus Plans
 </li>
 <li>
 Medical, Dental, Vision benefits
 </li>
 <li>
 401K with Company Match
 </li>
 <li>
 10 Paid Holidays
 </li>
 <li>
 Generous Paid Time Off Packages
 </li>
 <li>
 Employee Stock Purchase Plan
 </li>
 <li>
 Paid Parental &amp; Family Leave
 </li>
 <li>
 and more!
 
 
 </li>
 </ul>
 
 
 EEO Statement
 
 
 
 
 Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
 
 
 We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you&rsquo;d like to join our team but feel that you don&rsquo;t quite meet all of the preferred skills, we&rsquo;d still love to hear why you think you&rsquo;d be a great addition to our team.
 
 
 We&rsquo;re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.
</div>

Machine Learning Engineer

Lenovo

<div>
 We are Lenovo. We do what we say. We own what we do. We WOW our customers.
 
 
 Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
 
 
 This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
 
 
 
 About Our Team
 
 
 
 Lenovo is building Quantum, a next‑generation hybrid AI platform that spans Windows, Android, and cloud. As part of this initiative, we are growing the engineering organization that powers Qira, Lenovo&rsquo;s cross‑device Personal AI.
 
 
 We are hiring a
 
 Machine Learning Engineer
 
 to own the full agentic stack &mdash; from LLM orchestration, tool use, memory, and production deployment on devices.
 
 
 
 Location:
 
 Chicago, IL is highly preferred (Hybrid, 3 days onsite, 2 days remote)
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and ship agentic LLM pipelines: multi-step reasoning, tool use, reflection loops, and long-horizon planning and memory.
 </li>
 <li>
 Build evaluation frameworks to measure agent reliability and safety across different tasks.
 </li>
 <li>
 Build and maintain RAG systems, vector stores, and external tool integrations.
 </li>
 <li>
 Deploy and scale agent systems in production; translate relevant research into working systems.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 5+ years in ML or applied AI with strong hands-on LLM experience (prompting, fine-tuning, inference optimization) on devices.
 </li>
 <li>
 Experience in Python and the modern ML stack (PyTorch, Hugging Face, vLLM or equivalent)
 </li>
 <li>
 Proven experience with agentic frameworks (LangGraph, AutoGen, CrewAI, or custom) and tool-use patterns (function calling, MCP, structured outputs)
 </li>
 <li>
 Experience with RAG architecture, embedding models, and LLM evaluation methodology
 </li>
 <li>
 Experience with software engineering fundamentals (python and at least one other programming language).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Rust experience for performance-critical inference or runtime components
 
 
 </li>
 </ul>
 The base salary budgeted range for this position is $145K - $155K. Individuals may also be considered for bonus and/or commission.
 
 
 Lenovo&rsquo;s various benefits can be found on www.lenovobenefits.com.
 
 
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
 
</div>

iManage

<div>We offer a flexible working policy that supports a healthy balance between personal and professional well-being. This role requires in-office presence on Tuesdays &amp; Thursdays to collaborate, connect, and learn from peers - while also maintaining the flexibility for meaningful work-life balance.
Being a Senior AI Software Engineer at iManage Means&hellip;
You are passionate about building and deploying AI systems that work at scale in production. You will work within the Applied AI team alongside engineers, data scientists, and product stakeholders to develop the AI capabilities that power iManage&rsquo;s enterprise work platform, including Ask iManage, our generative AI document assistant, as well as document classification, extraction, and LLM-driven features that directly impact how knowledge workers search, organize, and understand their most critical information. You bring hands-on depth in both model development and the infrastructure required to ship it reliably, and you thrive at the intersection of machine learning, software engineering, and cloud infrastructure.
iM Responsible For&hellip;<ul><li>
Owning the end-to-end ML lifecycle for AI systems from model development and evaluation through to scalable production serving, generative AI document intelligence, and agentic system use cases</li><li>
Deploying and optimizing ML/AI systems on GPUs and Kubernetes-based cloud infrastructure, including AKS or equivalent platforms, while balancing trade-offs across scalability, latency, performance, operational complexity, and cost efficiency</li><li>
Designing and implementing production-ready LLM applications and APIs with monitoring, observability, and integration testing built in</li><li>
Applying modern engineering practices for production AI systems, including containerized services, CI/CD pipelines, model and version tracking, and release governance</li><li>
Collaborating with product and business stakeholders to translate requirements into viable technical solutions</li><li>
Conducting code reviews and providing constructive feedback to team members</li><li>
Contributing to best practices and standards for AI engineering across the team</li></ul>
iM Qualified Because I Have&hellip;<ul><li>
A Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics, or a related field</li><li>
3+ years of experience in ML/AI engineering or software engineering</li><li>
Hands-on experience building and shipping LLM systems into production</li><li>
Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face</li><li>
Solid understanding of ML fundamentals including hands-on experience with both traditional ML and modern generative AI and transformer architectures</li><li>
Demonstrated experience fine-tuning language models and deploying them to production</li><li>
Experience with GPU optimization for training and inference workloads</li><li>
Experience with Kubernetes deployment on cloud infrastructure (Azure, AWS, or GCP) to optimize systems for scalability, latency, performance, and cost efficiency</li><li>
The ability to work collaboratively across teams, communicate with precision, and take ownership from prototype to production</li></ul>
Bonus Points If I Have&hellip;<ul><li>
Experience with distributed training frameworks (e.g., PyTorch Distributed, Ray) and inference optimization tools (e.g., vLLM, SGLang)</li><li>
Experience with agentic engineering, including agent harness and agent memory, and orchestration frameworks such as LangChain, LlamaIndex, or similar tools</li><li>
Experience with knowledge graphs and multimodal LLMs</li><li>
Familiarity with AI/ML observability tools and model lifecycle management best practices</li></ul>
Don't meet every qualification listed above? Studies show that women and people of color are less likely to apply to jobs unless they meet all qualifications. At iManage, we are committed to building a diverse and inclusive environment, and encourage everyone to show up as their full authentic selves. We welcome those that come with a growth mindset and a hunger for learning; so, if you are excited about this role but your past experience doesn't align perfectly with every qualification we encourage you to apply anyways!
iM Getting To&hellip;<ul><li>
Join a supportive, experienced team with an inclusive, encouraging, and vibrant culture.</li><li>
Have flexible work hours that allow me to balance my &lsquo;me time&rsquo; with my work commitments.</li><li>
Collaborate in a modern open plan workspace, with a gaming area, free snacks, drinks and regular social events.</li><li>
Focus on impactful work, solving complex, real challenges utilizing the latest technologies and protocols.</li><li>
Own my career path with our internal development framework. Ask us more about this!</li><li>
Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning.</li><li>
Join an innovative, industry leading SaaS company that is continuing to grow &amp; scale!</li></ul>
iManage Is Supporting Me By...<ul><li>
Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it.</li><li>
Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data.</li><li>
Rewarding me with an annual performance-based bonus.</li><li>
Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401k Retirement Savings Plan with a company match up to 4%.</li><li>
Giving access to HealthJoy, a healthcare concierge service, to help me maximize my health benefits.</li><li>
Granting enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.</li><li>
Providing me with a flexible time off policy to take the time off that I need. Be it for vacation, volunteering, celebrating holidays, spending time with family, or simply taking time to recharge and reset.</li><li>
Caring for my mental health and well-being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more.</li></ul>
The overall US annual base salary range for this position is $130,000&ndash;$170,000. Individual compensation for each candidate depends on factors such as qualifications, experience, and candidate location. This range does not include additional forms of compensation, such as bonuses, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process.
About iManage&hellip;
iManage is dedicated to Making Knowledge WorkTM. Over one million professionals across 65+ countries rely on our intelligent, cloud-enabled, secure knowledge work platform to uncover and activate the knowledge that exists inside their business content and communications.
We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding.
So we&rsquo;re looking for people who love a challenge. People who are happiest when they&rsquo;re solving problems and collaborating with the industry&rsquo;s best and brightest. That&rsquo;s the iManage way. It&rsquo;s how we do things that might appear impossible. How we develop our employees&rsquo; strengths and unlock their potential. How we find meaning in everything we do.
Whoever you are, whatever you do, however you work. Make it mean something at iManage.
iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Learn more at: www.imanage.com
Please see our privacy statement for more information on how we handle your personal data:
https://imanage.com/privacy-policy/
#LI-Hybrid
#LI-RW1
s8WcECcH4I</div>

Senior AI Software Engineer

Arrive Logistics

<div><div>Who We Are

Arrive Logistics is a leading transportation and technology company in North America with plans to grow significantly year over year. Our success is a testament to our remarkable team and what we&rsquo;re building together. We&rsquo;re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment.

Who We Want

The Data Scientist II will work closely with Data Science, Product, and Engineering to build and improve ML and AI systems that drive operational value. This role is a great fit for a hands-on practitioner with applied experience in NLP and LLM-based systems who is ready to take on meaningful technical ownership. You'll contribute to the full lifecycle of production ML systems &mdash; from evaluation and measurement through development, deployment, and iteration &mdash; with a particular focus on text and language-based applications. The ideal candidate is comfortable operating in ambiguous problem spaces, can translate loosely defined business needs into concrete technical approaches, and communicates findings clearly to both technical and non-technical audiences.
</div>
<h3 class="jobSectionHeader">What You'll Do</h3><div>
<ul><li>Develop, evaluate, and iterate on NLP and LLM-based systems, including text classification, information extraction, and context retrieval pipelines.</li>
<li>Build measurement and evaluation frameworks &mdash; both offline and online &mdash; to assess where and why systems are underperforming and quantify the impact of improvements.</li>
<li>Develop golden test datasets and define methodologies for creating and maintaining them over time, including designing annotation guidelines and ensuring label quality.</li>
<li>Evaluate and apply the appropriate approach for language tasks &mdash; whether prompt engineering, fine-tuning, or classical NLP methods &mdash; including modern retrieval and RAG architectures and LLM evaluation methodologies, based on the problem and available data.</li>
<li>Perform structured analysis of system performance to surface failure modes, data gaps, and high-value areas for investment, applying sound statistical reasoning to evaluation results.</li>
<li>Partner with engineers to support deployment, integration, and monitoring of ML and AI systems in production.</li>
<li>Contribute to standards and best practices around deploying, evaluating, and monitoring text and language-based ML systems.</li>
<li>Document work clearly and maintain knowledge artifacts that make systems understandable and maintainable over time.</li>
<li>Collaborate with senior data scientists and cross-functional partners to translate business needs into well-scoped technical solutions, including communicating findings and recommendations to non-technical stakeholders.</li>
</ul></div><h3 class="jobSectionHeader">Qualifications
</h3><div><ul><li>Bachelor's or Master's degree in a quantitative field (computer science, statistics, linguistics, or related) and 2&ndash;4 years of applied ML or data science experience, or equivalent practical experience.</li>
<li>Hands-on experience building or improving NLP or LLM-based systems in applied settings.</li>
<li>Familiarity with text classification, information extraction, or other NLP tasks &mdash; and an understanding of where these systems fail.</li>
<li>Experience with both prompt engineering and fine-tuning approaches for language tasks, with the judgment to know when to apply each.</li>
<li>Familiarity with modern retrieval strategies and RAG architectures and how they affect LLM system performance.</li>
<li>Experience with Hugging Face Transformers for text classification or related NLP tasks.</li>
<li>Experience contributing to evaluation frameworks, test sets, or performance diagnostics for ML systems, including comfort with statistical methods for measuring model performance.</li>
<li>Proficiency in Python and SQL, and comfort working with structured and unstructured data.</li>
<li>Ability to operate effectively in ambiguous problem spaces &mdash; scoping technical approaches when requirements are not fully defined.</li>
<li>Strong written communication skills; able to document systems and findings clearly and present recommendations to non-technical stakeholders.</li>
<li>Experience designing data annotation workflows, labeling guidelines, or label quality processes is a plus.</li>
<li>Experience with model deployment, monitoring, or production ML workflows is a plus.</li>
<li>Familiarity with LangChain and LangSmith or similar LLM orchestration and observability tooling is a plus.</li>
<li>Transportation or logistics industry experience is a plus.</li>
</ul></div><h3 class="jobSectionHeader">The Perks of Working With Us
</h3><div><ul><li>Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage.</li>
<li>Invest in your future with our matching 401(k) program.</li>
<li>Build relationships and take part in learning opportunities through our Employee Resource Groups.</li>
<li>Enjoy office wide engagement activities, team events, happy hours and more!</li>
<li>Leave the suit and tie at home; our dress code is casual.</li>
<li>Work in the heart of downtown Chicago, IL!</li>
<li>Sweat it out at the LifeStart gym in our office building that includes brand new Peloton bikes, top-of-the-line equipment and personal training options.</li>
<li>Maximize your wellness with free counseling sessions through our Employee Assistance Program</li>
<li>Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days.</li>
<li>Receive 100% paid parental leave when you become a new parent.</li>
<li>Get paid to work with your friends through our Referral Program!</li>
<li>Get relocation assistance! If you are not local to the area, we offer relocation packages.</li>
</ul></div><div>The base salary range for this position is $138K - $172K, plus bonus and benefits. The range displayed on each job posting reflects the pay range for the position across all locations. Within the range, individual pay is determined based on work location, job-related skills, experience, relevant education or training.</div><div>
<div>Your Arrive Experience</div>
<div>When we say &ldquo;award-winning culture,&rdquo; we mean it. We&rsquo;ve been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we&rsquo;re not in it for the trophies. We&rsquo;re committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive&rsquo;s walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.</div>
<div></div>
<div>Notice:</div>
<div>To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact talentacquisition@arrivelogistics.com for verification.</div></div></div>

Data Scientist II

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
The Lead Director, Business Analytics (Medicare Stars Data Intelligence) is a senior leadership role within the Medicare Stars Data Intelligence organization, responsible for advancing enterprise analytics, driving strategic insights, and enabling data-driven decision-making across the business.
This role leads the synthesis of complex, multi-source data into clear, actionable insights to improve Medicare Stars performance and inform executive strategy. The position plays a critical role in aligning analytics with business priorities, strengthening data governance, and accelerating innovation through advanced analytics and emerging capabilities such as AI-enabled insights.<div></div>
Key Responsibilities
Strategic Analytics &amp; Leadership<ul><li>
Lead the development and execution of analytics strategies that support Medicare Stars performance and enterprise priorities</li><li>
Serve as a trusted advisor to senior leadership, delivering insights that directly influence strategic decisions</li><li>
Translate complex analytical findings into compelling executive-level storytelling</li><li>
Proactively identify opportunities to improve performance through advanced analytics and data-driven recommendations</li></ul>
Data Intelligence &amp; Insights Delivery<ul><li>
Oversee the development of reporting, dashboards, and analytical models to track performance and inform decision-making</li><li>
Drive the synthesis of structured and unstructured data into meaningful insights that support strategic planning</li><li>
Ensure timely delivery of high-quality analytics to support forecasting, trend analysis, and scenario modeling</li><li>
Leverage AI agents and advanced tools to enhance the speed and quality of insight generation for executive stakeholders</li></ul>
Cross-Functional Partnership<ul><li>
Partner across Data Science, Product, Operations, and DDAT teams to align data capabilities with business needs</li><li>
Collaborate with stakeholders to define data requirements and ensure alignment with enterprise priorities</li><li>
Influence cross-functional initiatives by embedding analytics into operational workflows</li></ul>
Data Governance &amp; Quality<ul><li>
Ensure adherence to data governance, compliance, privacy, and security standards</li><li>
Establish processes to validate, monitor, and improve data integrity and reliability</li><li>
Provide leadership in defining best practices for analytics, reporting, and data usage</li></ul>
Innovation &amp; Capability Advancement<ul><li>
Drive the adoption of advanced analytics techniques, including AI/ML, to enhance business insights</li><li>
Identify and implement opportunities to modernize analytics tools, processes, and data capabilities</li><li>
Promote a culture of innovation, continuous improvement, and data literacy within the organization</li></ul>
Qualifications
Required<ul><li>
Bachelor&rsquo;s degree in Informatics, Data Science, Business Analytics, or a related field (or equivalent experience)</li><li>
Significant experience in analytics, informatics, or data-driven leadership roles</li><li>
Proven ability to translate complex data into actionable business insights</li><li>
Experience leading cross-functional initiatives and influencing senior stakeholders</li><li>
Strong expertise in data analysis, reporting, and visualization tools (e.g., SQL, Tableau, Python)</li><li>
Experience in healthcare, Medicare Stars and regulated environments</li></ul><ul><li>
Familiarity with CMS Stars measures, forecasting methodologies, and performance frameworks</li><li>
Experience with cloud-based data platforms (e.g., GCP, Azure, Snowflake)</li><li>
Exposure to AI/ML and advanced analytics techniques</li></ul><div></div>
Other Skills<ul><li>
Project Leadership: Ability to lead complex, multi-threaded initiatives from concept through execution</li><li>
Business Analysis: Strong capability to translate business needs into data-driven solutions and insights</li><li>
AI-Enabled Insight Generation: Experience leveraging AI agents to synthesize large datasets into executive-ready insights</li><li>
Complex Data Queries: Advanced proficiency in querying, manipulating, and analyzing large, complex datasets</li></ul><div></div>
Core Competencies<ul><li>
Strategic thinking and executive presence</li><li>
Data storytelling and influence</li><li>
Cross-functional collaboration</li><li>
Analytical rigor and problem solving</li><li>
Execution and accountability</li></ul><div></div>
Impact of the Role
This role is instrumental in shaping how data is leveraged across the organization to drive Medicare Stars performance. By delivering high-impact insights, strengthening data capabilities, and enabling informed decision-making, the Lead Director will directly contribute to improved outcomes, operational efficiency, and enterprise strategy execution.
Pay Range
The typical pay range for this role is:
$100,000.00 - $231,540.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
We anticipate the application window for this opening will close on: 07/12/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Lead Director, Business Analytics (Medicare Stars Data Intelligence)

<div>
 We are Lenovo. We do what we say. We own what we do. We WOW our customers.
 
 
 Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
 
 
 This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
 
 
 
 About Our Team
 
 
 
 Seeking a
 
 Software Engineer
 
 to join our team to help build leading edge software solutions that enable rich AI experiences for multiple downstream applications and devices. You will work closely with various teams to design and own features end-to-end, from backend to frontend. Your designs must be highly scalable and optimized for high-performance use cases.
 
 
 
 Location:
 
 Onsite in Chicago, IL; Hybrid (3 days onsite, 2 days remote)
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Contribute to major initiatives, delivering reliable, high-impact solutions.
 </li>
 <li>
 Design and integrate scalable technical solutions that support multiple business functions in large production environment hosted in Azure.
 </li>
 <li>
 Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
 </li>
 <li>
 Collaborate and contribute on cloud infrastructure and DevOps pipelines within Azure along with ensuring security scanning, and deployment workflows are completed.
 </li>
 <li>
 Partner with product, data, and platform stakeholders to integrate enterprise systems.
 </li>
 <li>
 Help shape future architecture and technical direction of the platform.
 </li>
 <li>
 Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences for millions of users.
 </li>
 <li>
 Utilize programming languages like Java, Node, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker, and a variety of Azure tools and services.
 </li>
 <li>
 Translate business requirements and functional specifications into effective technical designs while assessing impacts to existing systems, processes, and architecture.
 </li>
 <li>
 Develop and maintain enterprise applications using disciplined, modern development practices.
 </li>
 <li>
 Review test strategies and oversee testing to ensure solutions meet business needs with minimal risk.
 </li>
 <li>
 Support successful releases by deploying new modules, upgrades, and fixes to production environments.
 </li>
 <li>
 Troubleshoot and resolve system issues, improving stability and performance.
 </li>
 <li>
 Review updates to application portfolio inventory for accuracy and completeness.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree Computer Science or technical discipline
 </li>
 <li>
 3+ years of professional software engineering experience
 </li>
 <li>
 3+ years of experience in Node.js
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Python and Go
 </li>
 <li>
 2+ years of experience with Azure preferred, or another cloud service
 </li>
 <li>
 2+ years of experience in open-source frameworks
 </li>
 <li>
 2+ years of experience in Agile practices
 
 
 </li>
 </ul>
 The base salary range budgeted for this position is $100,000 - $125,000. Individuals may also be considered for bonus and/or commission.
 
 
 Lenovo&rsquo;s various benefits can be found at www.lenovobenefits.com.
 
 
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
 
</div>

Software Engineer (Node.js, Python, Go, Azure)

Explore 70+ Ai ml engineer in Chicago this July. Find roles across top companies and apply now to boost your career.

70 ai ml engineer jobs In Chicago

AI/ML Engineer

Machine Learning Engineer

Machine Learning Engineer

Senior AI Software Engineer

Data Scientist II

Lead Director, Business Analytics (Medicare Stars Data Intelligence)

Software Engineer (Node.js, Python, Go, Azure)