applied machine learning engineer – ml & ai systems

financial analyst

ai engineering intern - summer 2026 Jobs in Chicago

ai engineering intern - summer 2026

ai machine learning engineer Jobs in Chicago

ai machine learning engineer

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

artificial intelligence engineer Jobs in Chicago

artificial intelligence engineer

data engineer

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Job Location:</b></h2>
</div><div><p>The preferance for the location is Cinncinnati Ohio but it can be remote as well.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>About the job you're considering</b></h2>
</div><div><p>Capgemini is looking to hire a senior Azure Databricks Data Engineer with Martech experience in Cinncinnati Ohio.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>your role</b></h2>
</div><div><ul><li>Provide L1.5, L2, and L3 production support for Azure and Databricks-based data pipelines and applications.</li>
<li>Troubleshoot failures related to ingestion, transformations, scheduling, performance, and schema drift.</li>
<li>Conduct root-cause analysis, implement permanent fixes, and maintain runbooks, SOPs, and knowledge articles.</li>
<li>Monitor system health, SLAs, job performance, and platform costs using Azure and Databricks observability tools.</li>
<li>Optimize Spark/Databricks workloads including cluster tuning, Delta Lake optimization, and job performance enhancements.</li>
<li>Execute controlled production changes and participate in incident, problem, and change management processes.</li>
Collaborate with engineering, operations, and business teams to implement automation and drive platform reliability.<br>
<li>
<br>
<br>
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Skills and experience</b></h2>
</div><div><ul><li>6-7 years of experience in data engineering with strong expertise in Azure Data Factory/Synapse, ADLS Gen2, Azure SQL, Key Vault, and Databricks (Spark, Delta Lake, Unity Catalog).</li>
<li>Hands-on proficiency in PySpark and SQL, with strong debugging skills for production data pipelines.</li>
<li>Martech experience</li>
<li>Good understanding of ITIL processes including Incident, Problem, and Change Management.</li>
<li>Experience with Azure Monitor, Log Analytics, and CI/CD platforms (Azure DevOps/Git).</li>
Strong analytical, communication, and documentation skills; ability to work in on-call or high-severity incident environments.<br>
<li>
<br>
<br>
</li></ul></div></div></div><p>The base compensation range for this role in the posted location is: $112,763 - $148,000.</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><br>
<p></p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><br>
<p></p><p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p><br>
<p></p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div><p></p>

Data Engineer - Azure, Databricks

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>
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. 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.</p><p><br>
This position on the Marketing Data &amp; Engineering team will support the implementation of data products. The Marketing Data &amp; Engineering team supports Cat Digital&rsquo;s overall marketing efforts having responsibility for data pipelines and products used to reach our customers where they are in their journey.
</p><p></p><p>This position will be focused around the Digital Intelligence Warehouse. This collection of data and data objects are the foundation for marketing decisions across the enterprise. You will not only be expected to work across multiple cloud database technologies but collaboration with various business &amp; technical teams will be vital. Ideal candidates will have a proven track record of progressive technical responsibility, demonstrated communication skills, and comfort with a rapid-paced environment.</p><p></p><p><b>
What You Will Do:</b></p><ul><li>
Build data ingestion pipelines using approved patterns</li><li>
Implement and document standardized data models</li><li>
Build and document data pipelines required to support those models</li><li>
Work with multiple international teams for overall success of shared goals</li><li>
Execute proofs of concept as needed to prove out solutions</li><li>
Regularly report on initiative status to peers and leadership</li><li>
Standard administration tasks like time reporting, accomplishing training requirements, and task tracking via Azure DevOps</li></ul><p></p><p><b>
What you will have:
</b></p><ul><li><b>Decision Making and Critical Thinking:</b> Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.</li><li>
<b>Effective Communications:</b> Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.</li><li><b>
Software Development:</b> Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.</li><li><b>
Software Integration Engineering:</b> Knowledge of software integration processes and functions; ability to design, develop and maintain interfaces and linkage to alternative platforms and software packages.</li><li><b>
Data Pipeline Engineering:</b> Extensive knowledge of building and supporting cloud‑based data pipelines; understanding of ingestion, transformation, and orchestration patterns.</li><li><b>
Cloud Database Proficiency:</b> Working knowledge of cloud database technologies; ability to apply best practices for performance and scalability.</li><li><b>
Progressive Technical Ownership:</b> Demonstrated progression in technical capabilities and responsibility; ability to execute tasks autonomously while seeking guidance when needed.</li></ul><p></p><p><b>
Consideration for top candidates:</b></p><ul><li>
Experience with web tracking, social, and ad platform data sets</li><li>
Working knowledge of SQL &amp; Python</li><li>
Experience with web based ETL and/or Reverse ETL technologies</li><li>
Experience with Microsoft productivity tools</li><li>
Familiarity with Google Cloud and AWS capabilities</li><li>
Experience with BigQuery and/or Snowflake</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><li>
This position will require up to 0% travel</li></ul><p></p><p>
#LI</p><p>
#BI</p><p>
</p><p><b>Summary Pay Range:</b></p><p></p>
$112,710.00 - $183,140.00<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>
This position requires working onsite five days a week.<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>

Senior Data Engineer, Cat Digital

CNA Insurance

<div><p>You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.</p><p></p>
Senior Data/AI Engineer is an individual contributor role responsible for designing, building, and modernizing production-grade data pipelines and data solutions across hybrid cloud and on-premise environments. The role applies expertise in AI-assisted development tools, strong engineering judgment, and modern data engineering practices to integrate structured, semi-structured, and unstructured data across complex enterprise ecosystems, leveraging both legacy platforms and cloud-native technologies to deliver scalable, secure, resilient, and high-quality solutions that improve speed to delivery, operational reliability, and business value.<p></p><p><b>
JOB DESCRIPTION:</b></p><p></p><p><b>
Essential Duties &amp; Responsibilities</b></p><p><i>
Performs a combination of duties in accordance with departmental guidelines:</i></p><div><ul><li><p>
Serves as a key team member who delivers results and creates value for the CNA brand, customers, and internal stakeholders, while collaborating effectively with external and offshore resources as needed.</p></li></ul></div><div><ul><li><p>
Demonstrate hands-on experience using AI-assisted development tools to accelerate engineering tasks such as pipeline creation, code generation, testing, and troubleshooting</p></li></ul></div><div><ul><li><p>
Apply strong engineering judgment when working with AI-generated outputs, ensuring alignment with enterprise standards for quality, security, and data handling</p></li></ul></div><div><ul><li><p>
Design and build data pipelines that support multi-modal data, including structured, semi-structured, and unstructured sources (e.g., transactional data, documents, and external data feeds)</p></li></ul></div><div><ul><li><p>
Build and modernize data pipelines across hybrid environments (on-premise and cloud), incorporating automation, observability, and resiliency by design</p></li></ul></div><div><ul><li><p>
Designs, builds, and enhances large-scale data processing systems and data lakes on Google Cloud Platform, optimizing for computational and storage efficiency while applying strong expertise in data modeling and engineering best practices.</p></li></ul></div><div><ul><li><p>
Operate effectively in complex, multi-entity and multi-national system landscapes, integrating internal platforms and external data providers</p></li></ul></div><div><ul><li><p>
Bring familiarity with both legacy enterprise data tools (e.g., ETL/ELT platforms, relational databases) and modern cloud-native data and integration services</p></li></ul></div><div><ul><li><p>
This role is not focused on experimentation alone &mdash; it is focused on applying AI in a disciplined, production-grade engineering environment to drive measurable improvements in delivery speed, quality, and operational reliability</p></li></ul></div><div><ul><li><p>
May lead or sub-lead the design of complex physical data models, projects and cloud-based data lake constructs including SQL/NoSQL database systems.</p></li></ul></div><div><ul><li><p>
May lead or sub-lead the creation of integrated data views based on business or analytics requirements.</p></li></ul></div><div><ul><li><p>
May lead or sub-lead robust unit testing to ensure deliverables match the design and provide expertise to support subsequent release testing.</p></li></ul></div><div><ul><li><p>
Actively adheres to established quality and reliability standards, and ensures team adheres to the same quality and standards working in an Agile development environment.</p></li></ul></div><div><ul><li><p>
Research, identifies and implements process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.</p></li></ul></div><div><ul><li><p>
May lead or sub-lead the design and building of data solutions and applications that enable reporting, analytics, data science, and data management.</p></li></ul></div><div><ul><li><p>
Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Drives the evolution of CNA application development processes and standards.</p></li></ul></div><p><br>
</p><p><i>May perform additional duties as assigned.</i></p><p></p><p><b>
Reporting Relationship</b></p><p>
Typically Director or above</p><p></p><p><b>
Skills, Knowledge &amp; Abilities</b></p><div><ul><li><p>
Strong knowledge of data architecture, relational and NoSQL database concepts, ETL/ELT patterns, dimensional modeling, metadata, and data quality frameworks for enterprise-scale data solutions.</p></li></ul></div><div><ul><li><p>
Strong experience designing and building scalable data integration and pipeline solutions with a focus on accuracy, observability, resiliency, performance optimization, and ease of consumption.</p></li></ul></div><div><ul><li><p>
Proficiency in Python and advanced SQL for large-scale, complex datasets, with hands-on experience using AI-assisted development tools to accelerate coding, testing, troubleshooting, and engineering productivity.</p></li></ul></div><div><ul><li><p>
Strong communication, collaboration, and stakeholder engagement skills, with the ability to apply sound engineering judgment and work effectively across highly matrixed, cross-functional, and global teams.</p></li></ul></div><div><ul><li><p>
Preferred experience building data and analytics solutions on Google Cloud Platform, including services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer, or equivalent cloud-native data technologies.</p></li></ul></div><div><ul><li><p>
Preferred experience in insurance and financial services, including familiarity with regulatory, risk, underwriting, claims, customer, and operational data domains.</p></li></ul></div><div><ul><li><p>
Experience with big data and distributed processing technologies, hybrid cloud and on-premise environments, and modern engineering practices including automation, testing, CI/CD, and secure data handling.</p></li></ul></div><div><ul><li><p>
Working knowledge of business intelligence, reporting, and analytics enablement tools, with an understanding of data governance, lineage, monitoring, and controls needed to support trusted, production-grade data products.
</p></li></ul></div><p></p><div><p><b>Education &amp; Experience</b></p></div><div><ul><li><p>
Bachelor&rsquo;s degree with Master&rsquo;s preferred in Computer Science, Information Technology, related discipline or equivalent work experience.</p></li></ul></div><div><ul><li><p>
Typically 5+ years of experience in data, analytics or application development.</p></li></ul></div><div><ul><li><p>
2+ years of coding proficiency in at least one programming language (Python, Java, SQL).</p></li></ul></div><div><ul><li><p>
Experience using Agile methods preferred.</p></li></ul></div><div><ul><li><p>
Applicable certifications preferred (GCP, Data Engineering).</p></li></ul><p></p><p>
#LI-KJ1 #LI-HYBRID</p></div><p></p><p><i>
I</i><i>n certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In </i><i>District of Columbia</i><i>,</i><i> </i><i>California, Colorado, Connecticut, </i><i>Illinois</i>, <i>Maryland</i><i>, </i><i>Massachusetts</i>,<i> New York and Washington,</i> <i>the national base pay range for this job level is</i><i> $72,000 to $141,000 </i><i>annually. Salary</i><i> determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees &ndash; and their family members &ndash; achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA&rsquo;s benefits, please visit </i><i>cnabenefits.com</i><i>.</i></p><p><br>
CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.</p><p><br>
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com</p></div>

Senior Data AI Engineer

The Hartford

<div><h2 class="jobSectionHeader"><b>Job Details</b></h2>
<div><div><div>Location:</div>
<div>Chicago, IL</div>
</div><div><div>Category:</div><div>
Data &amp; Analytics</div>
</div><div><div>Employment Type:</div>
<div>Full time
</div></div><div><div>Job Ref:</div><div>
R2625795-172</div>
</div></div><p></p><div><div>Data Engineer - GE08AE<p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><div>The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team.<br>
The Hartford is developing industry‑leading AI and machine learning capabilities to improve the various facets of the Global Specialty underwriting experience. On the Global Specialty Applied AI team, we utilize the latest AI products and frameworks to accelerate the processes that our partners touch day to day and advance the speed and intelligence with which we make our decisions. As a Machine Learning AI Engineer, you will play a key role in contributing to the designing, building, and operationalizing production‑grade AI solutions&mdash;partnering closely with product, engineering, and platform leaders to deliver measurable impact.<br>
<br>
Our core values<br>
<ul><li>We build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.</li><li>We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.</li><li>We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.</li><li>We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.</li><li>We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.</li></ul><br>
Responsibilities<br>
<ul><li>Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.</li><li>Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.</li><li>Accountable for deployment design, development and maintenance of both traditional ML and AI models.</li><li>Collaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teams</li><li>Delivery of critical milestones for model deployment in the AWS and GCP cloud environments.</li><li>Adopt and promote MLOps best practices to the Data Science community.</li></ul><br>
Minimum Requirements<br>
<ul><li>Must be authorized to work in the U.S. now and in the future.</li><li>1+ years of equivalent experience in a research or DevOps function.</li><li>Development experience developing solutions within AWS, GCP or both.</li><li>Exposure to developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.</li><li>Familiarity with building and deploying API services within the Cloud.</li><li>Familiarity building CICD pipelines using Jenkins or equivalent</li><li>Exposure with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents</li><li>Experience in Unix, git, and strong object oriented development experience using Python</li><li>Exposure to with workflow automation platforms (Apache Airflow, Autosys, similar)</li><li>Basic understanding of Data Science model development life cycle</li></ul></div><ul><li>Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM&rsquo;s into automated processes</li></ul><p>
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).</p><p>
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</p><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p>
$100,960 - $151,440<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div></div></div><p></p>

AI Machine Learning Engineer

Deloitte

<div>
 Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced
 <strong>
  Data Scientist,
 </strong>
 you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
 <br/>
 <br/>
 <strong>
  Recruiting for this role ends on June 30 th 2026
  <br/>
  <br/>
 </strong>
 <strong>
  Work You'll Do/Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work with stakeholders to identify business problems and formulate them as data science challenges.
  </li>
  <li>
   Collect, clean, and explore large datasets to uncover trends and patterns.
  </li>
  <li>
   Develop and train machine learning models to solve problems such as prediction, classification, and clustering.
  </li>
  <li>
   Validate and deploy models into production environments.
  </li>
  <li>
   Communicate findings and insights to technical and non-technical audiences through data visualization and presentations.
  </li>
  <li>
   Stay up to date with the latest trends and technologies in data science and machine learning.
  </li>
  <li>
   Ability to work independently and collaborate as part of a team
  </li>
  <li>
   Effective written and verbal communication skills
  </li>
  <li>
   Meticulous attention to detail and quality of work product
  </li>
  <li>
   Ability to build and sustain professional relationships
  </li>
  <li>
   Ability to lead projects or workstreams
  </li>
  <li>
   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  </li>
  <li>
   Strong interpersonal skills and professional demeanor
  </li>
  <li>
   Ability to meet deadlines
  </li>
  <li>
   Ability to provide clear guidance to others
  </li>
  <li>
   Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  </li>
  <li>
   Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Team
  <br/>
  <br/>
 </strong>
 AI &amp; Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology &amp; data platforms. Our delivery models are tailored to meet each client's unique requirements.
 <br/>
 <br/>
 Our AI &amp; Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  </li>
  <li>
   5+ Years of Experience in a Data Science or Machine Learning role.
  </li>
  <li>
   5+ Years of Experience Proficiency in programming languages such as Python or R.
  </li>
  <li>
   5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms.
  </li>
  <li>
   5+ Years of Experience with data manipulation and analysis libraries like pandas and NumPy
  </li>
  <li>
   Limited immigration sponsorship may be available
  </li>
  <li>
   Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's or Ph.D. in a relevant field.
  </li>
  <li>
   Experience with big data technologies like Spark or Hadoop.
  </li>
  <li>
   Experience with deep learning frameworks like TensorFlow or PyTorch.
  </li>
  <li>
   Familiarity with cloud platforms such as AWS, Azure, or GCP.
  </li>
  <li>
   Experience with data visualization tools like Tableau or Power BI.
  </li>
  <li>
   Analytical/ Decision Making Responsibilities
  </li>
  <li>
   Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  </li>
  <li>
   Can operate independently or with minimum supervision
  </li>
  <li>
   Excellent Written and Communication Skills
  </li>
  <li>
   Ability to deliver technical demonstrations
   <br/>
   <br/>
  </li>
 </ul>
 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400-207,800
 <br/>
 <br/>
 You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
</div>


Data Scientist

Infinite Lambda

<div><h2 class="jobSectionHeader"><b>Role Overview</b></h2><p></p><p>
The <b>Data/AI Solutions Architect</b> role at Infinite Lambda is designed for a technical leader who bridges sales and engineering, driving growth in a fast-growing consultancy focused on data and AI solutions. This position is crucial for engaging clients, shaping sales strategies, and expanding into new markets.</p><p></p><p>
The position is titled <b>Data/AI Solutions Architect</b>, reporting directly to the General Manager, US, and is situated within the Global Sales Organization. This leadership role is critical for aligning technical expertise with sales objectives, ensuring Infinite Lambda&rsquo;s solutions meet client needs effectively.</p><p></p><p><b>
LOCATION &amp; WORK ARRANGEMENTS</b></p><p>
The role is remote, but you will be expected to travel occasionally to client sites, company meetings, and partner events.</p><p></p><p><b>
DETAILED RESPONSIBILITIES</b></p><p></p><p><b>
PROSPECTIVE CLIENT ENGAGEMENT</b></p><ul><li><p>
Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle;</p></li><li><p>
Understand and document client needs, articulating how Infinite Lambda&rsquo;s products and services can address these needs effectively;</p></li><li><p>
Work closely with the sales team to foster collaboration and develop compelling proposals that meet</p></li><li><p>
Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals;</p></li><li><p>
Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity;</p></li><li><p>
Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap.</p></li></ul><p></p><p><b>
LEAD SALES ENGINEER STRATEGY</b></p><ul><li><p>
Work with departments such as Product &amp; Services, Customer Success, and Sales &amp; Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions;</p></li><li><p>
Collaborate with Product &amp; Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends;</p></li><li><p>
Enhance the positioning of Infinite Lambda&rsquo;s products and services during the sales process and beyond, improving how value is communicated to clients;</p></li><li><p>
Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company&rsquo;s market positioning;</p></li><li><p>
Conduct regular research on industry trends, working with leadership to evolve strategies as appropriate to maintain competitiveness;</p></li><li><p>
Deepen subject-matter knowledge in Infinite Lambda&rsquo;s key industry verticals, ensuring a strong understanding of client needs and market dynamics.</p></li></ul><p></p><p><b>
ADDITIONAL DUTIES</b></p><ul><li><p>
Work with Infinite Lambda&rsquo;s executive team to help steer the company&rsquo;s overall strategy in a positive direction, providing insights from solutions architect perspectives.</p></li><li><p>
Represent Infinite Lambda at external conferences and events, promoting the company&rsquo;s brand, thought leadership, and expertise in data and cloud engineering.</p></li></ul><p></p><p><b>
REQUIREMENTS</b></p><ul><li><p>
Education: A Bachelor&rsquo;s degree in Engineering, Computer Science, or a related field is required; an advanced degree is preferred;</p></li><li><p>
Experience: A proven track record in data consulting, sales engineering or technical sales, preferably within the data, cloud, or technology sectors;</p></li><li><p>
Technical expertise: experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential;</p></li><li><p>
Data architecture: Stream processing and batch data warehouse processing, event-driven architecture, micro services, DataOps and MLOps practices;</p></li><li><p>
Communication skills: Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders;</p></li><li><p>
Leadership and strategy: Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion;</p></li><li><p>
Collaboration: Strong ability to work effectively across different departments and levels, fostering collaboration with Product &amp; Services, Customer Success, and Sales &amp; Partnerships;</p></li><li><p>
Market expansion: Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role.</p></li><li><p>
Traveling: The Solutions Architect role Requires travel at least once per month to NYC/California, Philadelphia, etc...</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
INTERVIEW PROCESS</b></h2><ul><li><p>
Intro call with TABP: 45-min</p></li><li><p>
Interview with General Manager: 45-min</p></li><li><p>
Technical interview with Head of Engineering/CTO and Presales Engineer: 90-min</p></li><li><p>
Cultural Chat with CEO: 45-min</p></li></ul><p></p><p><b>
Why join Infinite Lambda</b></p><ul><li><p><b>
We support your growth</b> with dedicated learning time, access to top-notch resources and a knowledge-sharing culture;</p></li><li><p><b>
You work autonomously here</b> in a wholesome environment and get as much paid holiday as you need;</p></li><li><p><b>
The projects are diverse</b> and give you plenty of opportunity to experiment with new tech;</p></li><li><p><b>
The benefits are plenty</b>, with work-from-home budget, a company MacBook and more on the list.</p></li></ul><p><b>
</b>Submit your <b>CV in English in PDF</b>.</p><p><b>
</b>Mind that as we are an international team, internal communication is in English.</p><p><b>
</b>In the US, as a final step in the hiring process, applicants are required to undergo a criminal background check with an accredited third-party screening company. Employment offers depend on the successful completion of this background check and the verification of all relevant information. We will request your explicit written consent before any screening begins.</p><p>
We are committed to fair hiring practices and will consider all qualified applicants in accordance with applicable federal, state, and local laws governing criminal background inquiries.</p><p>
</p><p>Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.</p><p>
Compensation Range: $180K - $210K</p></div>

Data/AI Solutions Architect

Engtal

<div>
 <p>
  We are seeking a Mechanical Engineer with 5+ years of experience to join a growing multidisciplinary engineering team in Chicago. This individual will support the design and delivery of complex mechanical systems for mission-critical data centers, aviation facilities, and commercial office projects. The ideal candidate is technically strong, collaborative, and interested in growing into a project leadership role while working on some of the most challenging and high-profile projects in the industry.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities
 </p>
 <ul>
  <li>
   Design HVAC, hydronic, ventilation, and mechanical systems for data center, aviation, and commercial office projects.
  </li>
  <li>
   Perform load calculations, equipment selection, energy analysis, and system sizing.
  </li>
  <li>
   Develop construction documents including plans, specifications, schedules, and details.
  </li>
  <li>
   Coordinate with electrical, plumbing, structural, architectural, and technology teams throughout project execution.
  </li>
  <li>
   Participate in design reviews, site visits, construction administration, and commissioning activities.
  </li>
  <li>
   Review shop drawings, RFIs, submittals, and change orders.
  </li>
  <li>
   Interface directly with clients, contractors, and project stakeholders.
  </li>
  <li>
   Support project managers with scheduling, budgeting, and technical coordination.
  </li>
  <li>
   Ensure designs comply with applicable codes, standards, and client requirements.
  </li>
  <li>
   Mentor junior engineers and designers as experience allows.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Qualifications
 </p>
 <ul>
  <li>
   Bachelor's Degree in Mechanical Engineering.
  </li>
  <li>
   5+ years of experience in MEP consulting engineering or related building systems design.
  </li>
  <li>
   Experience designing HVAC and mechanical systems for commercial, aviation, mission-critical, healthcare, higher education, or other large-scale facilities.
  </li>
  <li>
   Proficiency with Revit, AutoCAD, and Microsoft Office.
  </li>
  <li>
   Strong understanding of ASHRAE, IMC, IECC, and applicable building codes.
  </li>
  <li>
   Experience performing load calculations, equipment selection, and system design.
  </li>
  <li>
   Excellent communication and client-facing skills.
  </li>
  <li>
   EIT certification preferred; PE license or path toward licensure strongly preferred.
  </li>
 </ul>
</div>


Mechanical Engineer

Explore 83+ Data engineer in Chicago this June. Find roles across top companies and apply now to boost your career.