artificial intelligence & automation engineer

ai engineer

ai operations associate

ai product analyst

applied ai/ml associate

artificial intelligence & automation engineer Jobs in Chicago

machine learning engineer

CapTech Consulting

<div>Company Description 
CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. 
<div></div>

Job Description 
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Lead Machine Learning Engineer position include:
<ul><li>Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs</li><li>
Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.</li><li>
Deconstructing client needs into data-driven processes/models and analytical measures.</li><li>
Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).</li><li>
Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).</li><li>
Productionizing ML systems with a focus on optimization and scalability to satisfy clients&rsquo; requirements.</li><li>
Growing CapTech&rsquo;s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.</li></ul> 
<div></div>

Qualifications 
<ul><li>
7+ years of experience delivering data engineering and machine learning solutions on cloud platforms</li><li>
Bachelor's degree or equivalent combination of education and experience.</li><li>
Experience providing technical leadership and mentoring other engineers in data engineering space</li><li>
Hands-on experience manipulating and analyzing large (multi-billion record) data sets.</li><li>
Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.</li><li>
Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.</li><li>
Proficiency with containerization (e.g., Docker) and microservices.</li><li>
Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS</li><li>
Comfort and proficiency in framing data-driven problems from cross-industry business requirements.</li><li>
Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)</li><li>
Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).</li><li>
Knowledge of DevOps and automation best practices.</li><li>
Knowledge of statistics and statistical modeling methods.</li><li>
Knowledge of model management and model versioning best practices.</li><li>
Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting</li><li>
Experience with prompt engineering, MCP and RAG, and agentic AI architectures</li><li>
Strong understanding of conversational UX and prompt evaluation metrics</li><li>
Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)</li><li>
Experience with multi-agent orchestration</li></ul> 
<div></div>

Additional Information 
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.<ul><li>
Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths</li><li>
Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs</li><li>
Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care</li><li>
Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more</li><li>
Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations</li><li>
Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.</li><li>
401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness</li></ul>
CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $150,000 - $200,000.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.</div>

Lead Machine Learning / Data Science Engineer

Bright Vision Technologies

<div>
 Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.
 
 
 We leverage cutting-edge artificial intelligence technologies to build scalable, secure, and production-grade intelligent systems. As we continue to grow, we&rsquo;re looking for a skilled
 
 AI Engineer
 
 to join our dynamic team and contribute to our mission of transforming business processes through technology.
 
 
 This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
 
 
 We are looking for
 
 OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people
 
 who are looking for an
 
 H1B sponsorship for the year 2027 quota
 
 .
 
 
 
 Company:
 
 Bright Vision Technologies ( www.bvteck.com )
 
 
 
 Job Title:
 
 AI Engineer
 
 
 
 Job Location:
 
 Bridgewater, New Jersey - 08807
 
 
 
 Onsite/Hybrid:
 
 Remote
 
 
 
 FULL-TIME ROLE WITH BRIGHT VISION
 
 
 
 
 Environment:
 
 
 
 Artificial Intelligence, Machine Learning, Python, TensorFlow, PyTorch, Scikit-learn, Deep Learning, Model Training &amp; Evaluation, Feature Engineering, Data Pipelines, RESTful APIs, Model Deployment, Cloud Platforms (AWS / Azure / GCP), Docker, Kubernetes, Linux, CI/CD pipelines, Git, Agile methodologies
 
 
 
 BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.
 
 
 
 For every role, a
 
 coding test is required
 
 , so apply only if you are
 
 confident and technically strong
 
 .
 
 
 We prefer
 
 at least 3 to 5 years real time experience
 
 .
 
 
 If you are an
 
 AI Engineer
 
 with the above skills and are looking for an
 
 H-1 B sponsorship
 
 this year, please send your resume immediately to
 
 Jaya
 
 
 @bvteck.com
 
 .
 
 
 
 Best Regards,
 
 
 
 
 VENKAT RAJU
 
 
 
 Senior Technical Recruiter
 
 
 Bright Vision Technologies
 
 
 Cell: +1 908-505-3899
 
 
 Email: Venkat.r@bvteck.com
 
 
 Address: #991 Route 22 West, Suite 200,
 
 
 Bridgewater, New Jersey &ndash; 08807
 
 
 we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.
 
 
 
 Position offered by &ldquo;No Fee agency.&rdquo;
 
 
 
 Equal Employment Opportunity (EEO) Statement
 
 
 Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
 
 
 BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
 
 
 Powered by JazzHR
 
 
 Jdec9xtakW
</div>

AI Engineer

JPMorganChase

<div>JOB DESCRIPTION 
As part of the Commercial &amp; Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money and assets. We tackle complex challenges at every stage of the payment lifecycle and our industry-leading solutions facilitate seamless transactions across borders, industries and platforms. Operating in over 160 countries and handling more than 120 currencies, we are the largest processor of USD payments, with a daily transaction volume of $10 trillion.
As a Associate Applied AI/ML Scientist within our Payment Solutions team, you will be instrumental in utilizing artificial intelligence and machine learning technologies to augment our payment solutions and stimulate business expansion. Your role will involve researching, experimenting, developing, and transitioning high-quality machine learning models, services, and platforms into production to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with designing and executing highly scalable and dependable data processing pipelines, conducting analysis, and deriving insights to boost and optimize business outcomes. Working in collaboration with cross-functional teams, you will identify opportunities for AI/ML applications within the payments ecosystem.
Job Responsibilities:<ul>
<li>Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments&rsquo; domain.</li>
<li>Design, develop, and deploy machine learning and AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency.</li>
<li>Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.</li>
<li>Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.</li></ul>
Required qualifications, capabilities, and skills:<ul>
<li>Master&rsquo;s degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 2 years of industry experience. Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required.</li>
<li>2+ years of hands‑on experience with large‑scale data processing on AWS EMR, building robust batched feature stores (offline/online pipelines, schema governance, backfills, reproducibility), and orchestrating SageMaker training, pipelines, and model registry for production ML.</li>
<li>Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential.</li>
<li>1+ years of extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM), AgenticAI, and 3+ years of extensive experience in other machine learning techniques, including classification, regression algorithms.</li>
<li>Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains.</li>
<li>Proficient in both basic and advanced exploratory data analysis (EDA), with an understanding of the limitations and implications of different methodologies.</li>
<li>Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes.</li></ul>
Preferred Qualifications, capabilities and skills<ul>
<li>Experience in the financial services industry, particularly within investment banking operations.</li>
<li>Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.</li>
<li>Trust &amp; Safety (T&amp;S) fraud experience in payments, designing and deploying ML models for account takeover, transaction fraud, promotion abuse</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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><div>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.
<div>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
J.P. Morgan&rsquo;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>

Applied AI/ML Associate

Reverb

<div>
 
 About Reverb
 
 
 
 Reverb is the largest online marketplace dedicated to buying and selling new, used, and vintage musical instruments. Since launching in 2013, Reverb has grown into a vibrant community of buyers and sellers all over the world. By focusing on inspiring content, price transparency, musician-focused e-commerce tools, a music-savvy customer service team, and more, Reverb has created an online destination where the global music community can connect over the perfect piece of music gear.
 
 
 We love working at Reverb because we&rsquo;re making the world more musical&mdash;through our marketplace and through Reverb Gives, which provides musical instruments to youth music education programs. We were named a &ldquo;Best Place to Work&rdquo; by Built in Chicago and a &ldquo;Top Workplace'' by the Chicago Tribune.
 
 
 
 About The Role
 
 
 
 Our Engineering organization takes pride in crafting extraordinary software in service of our mission. We take an active role in product ownership by measuring the impact of features we release, collaborating with internal partners, fixing bugs, and ultimately building products and features that have a measurable impact on the business. Our team works together, pairing on design and coding patterns, peer-reviewing code, and elevating other developers through continuous mentorship and learning opportunities.
 
 
 As part of Reverb&rsquo;s Data Engineering team, you&rsquo;ll help build a platform to enable confident, informed decisions and products that scale along with our business. We are a small, forward-thinking team looking for creative engineers who can face a wide range of problems, researching and implementing innovative solutions that make the most of our data.
 
 
 
 
 This is a full-time, hybrid position reporting to the
 
 
 
 
 Senior Engineering Manager
 
 
 
 
 of our Data Engineering team.
 
 
 
 
 Hybrid team members are expected to work from our Chicago office 1-3 times per week, depending on team norms.
 
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Maintain and improve our data pipelines and warehouse to ensure our users have timely access to accurate data. Our current stack uses Python, Airflow, Redshift, dbt, Looker, and more.
 </li>
 <li>
 Actively contribute to building out our machine learning platform by partnering with our Data Science, Search Science and Product teams who are focused on launching ML models for search, recommendations, and other areas.
 </li>
 <li>
 Collaborate with data analysts and other internal partners across the organization to find exciting insights within our data and make them available to our product teams.
 </li>
 <li>
 Build and share a deep understanding of your chosen languages, framework, or other area of expertise. Push yourself and the team to be continuously learning and growing.
 </li>
 <li>
 Demonstrate a sense of ownership for your work, including understanding requirements, crafting solutions, and building robust testing plans to ensure the highest data quality.
 </li>
 <li>
 Participate in pairing sessions, code reviews and other team habits.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 We use a wide variety of languages, frameworks, and databases, so many skills and experiences would make you a good fit for our team, including:
 
 
 <ul>
 <li>
 Python in data engineering, web and/or ML applications.
 </li>
 <li>
 ETL/ELT pipelines and data warehousing.
 </li>
 <li>
 Relational databases, including data modeling, performance, optimizations, and crafting SQL queries.
 </li>
 <li>
 Understanding of different types of data storage and their trade-offs.
 </li>
 <li>
 Experience in machine learning techniques, pipelines and applications.
 </li>
 <li>
 Ability to collaborate with engineering peers, data scientists, data analysts, and other business and product partners.
 </li>
 <li>
 Familiarity with AWS infrastructure.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Remote-eligible roles (as indicated in the location header of each job description) are available in all U.S. states except Alaska and Hawaii. Remote roles are currently only available within the U.S. unless otherwise specified in the specific job description.
 
 
 
 Benefits
 
 
 
 Reverb offers a comprehensive total rewards package that combines base, bonus, and an array of benefits. Some of our key benefits include but are not limited to the following:
 
 
 <ul>
 <li>
 100% paid premiums for medical, dental, and vision coverage for the employee, spouse or domestic partner, and all eligible dependents. Medical coverage includes gender affirming care.
 </li>
 <li>
 Life, AD&amp;D, and supplemental long-and short-term disability insurance
 </li>
 <li>
 A matching 401(k)
 </li>
 <li>
 A generous PTO policy that includes vacation, sick/mental health days plus 11 paid holidays and two floating holidays
 </li>
 <li>
 Professional development and continued learning opportunities through access to mentoring, 1:1 coaching, and platforms like Skillsoft
 </li>
 <li>
 18 weeks of gender-neutral parental leave for the birth or adoption of a child
 </li>
 <li>
 Up to $25,000 reimbursement of adoption and/or surrogacy-related expenses
 </li>
 <li>
 Paid sabbatical program
 </li>
 <li>
 Annual work/life stipend
 </li>
 <li>
 Ways to give back to your community through volunteer time off
 
 
 </li>
 </ul>
 At Reverb, we believe that an equitable and inclusive workplace where people from all backgrounds can come, stay and thrive makes us a more relevant and resilient company. Reverb is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know.
 
 
 We know that impostor syndrome and the confidence gap are real. Please do not hesitate to apply!
 
 
 
 The Pay Range For This Role Is
 
 
 
 115,000 - 149,000 USD per year (US US-Chi)
</div>

Software Engineer, Data

Sargent & Lundy

<div>Description:

Sargent &amp; Lundy is a leading consulting engineering firm specializing in the power and energy sectors. Since 1891, we have provided comprehensive engineering, design, and consulting services for both traditional and renewable power generation, grid modernization, nuclear power, and beyond. Our mission is to help clients achieve their energy goals effectively by leveraging advanced technologies and adopting sustainable practices.
We are seeking an AI &amp; Automation Developer to join our Enterprise Data &amp; Analytics team. This role is central to our growing AI/Automation capability and will serve as a hands-on technical partner to business groups across the organization. The ideal candidate brings demonstrated experience in both artificial intelligence and process automation, with a proven ability to assess feasibility, design solutions, and deliver measurable outcomes that create efficiencies and solve real business problems.
As an AI &amp; Automation Developer, you will work directly with business stakeholders to understand their challenges, evaluate whether AI, automation, or a combination of both is the right approach, and then design and deliver end-to-end solutions. This is a growth-oriented role for those passionate about using AI and automation to drive impact in the power and energy sector.
Key Responsibilities
Business Engagement &amp; Feasibility Assessment<ul><li>
Partner directly with business groups to identify pain points, inefficiencies, and opportunities for AI and automation solutions.</li><li>
Conduct structured feasibility assessments for proposed initiatives, evaluating technical viability, data readiness, integration complexity, expected ROI, and organizational readiness.</li><li>
Translate business problems into clearly defined technical requirements, solution approaches, and delivery plans.</li></ul><ul><li>
Present findings, recommendations, and solution options to both technical and non-technical stakeholders, ensuring alignment on scope, value, and approach.</li><li>
Contribute to the intake and prioritization process for AI/automation demand across business groups, helping shape the portfolio backlog.</li></ul> 
AI Solution Development<ul><li>
Research, design, and develop AI-driven solutions and software applications for internal and client-facing needs.</li><li>
Develop and deploy natural language processing (NLP), computer vision, generative AI, and other AI capabilities as applicable to business use cases.</li><li>
Implement retrieval-augmented generation (RAG) patterns, prompt engineering strategies, and AI agent architectures to deliver intelligent automation solutions.</li><li>
Ensure robust, high-quality data for model training and software features by building validation checks and monitoring systems.</li><li>
Document model lineage, decision processes, and software dependencies; continually validate performance against business objectives.</li></ul> 
Automation &amp; Efficiency<ul><li>
Design and implement automation solutions using RPA tools, scripting, workflow platforms, and low-code/no-code technologies (e.g., Power Automate, UiPath, or similar).</li><li>
Identify and automate repetitive business processes, boosting productivity and reliability across teams.</li><li>
Develop integration solutions that connect enterprise systems, APIs, and data sources to enable end-to-end automated workflows.</li><li>
Monitor, maintain, and optimize deployed automations to ensure sustained performance and reliability.</li></ul> 
Software Development &amp; Code Quality<ul><li>
Develop production-grade code for automation, analytics, and user interfaces, ensuring scalability, reliability, and maintainability.</li><li>
Use rigorous software development practices&mdash;clear source control (Git), code review cycles, effective documentation, modular code organization, and adherence to coding standards.</li><li>
Implement robust automated testing (unit, integration, system tests) for both AI and broader software solutions, contributing to high code quality and continuous delivery.</li><li>
Follow a disciplined software development lifecycle (SDLC): requirements analysis, design, development, testing, deployment, and maintenance.</li><li>
Lead or participate in post-mortems to identify root causes of incidents and implement lessons learned in future releases.</li></ul><div></div> 
Collaborative Development &amp; Cross-Functional Engagement<ul><li>
Work closely with engineers, analysts, and IT to identify business problems that can be solved through AI or enhanced by automation.</li><li>
Collaborate with multidisciplinary teams&mdash;including data scientists, data engineers, business analysts, and subject matter experts&mdash;to deliver comprehensive solutions.</li><li>
Act as a bridge between technical and non-technical teams, helping stakeholders understand how software and AI solutions deliver business value.</li><li>
Participate actively in agile sprint planning, collaborating across functions to align releases with business needs.</li></ul> 
Data Quality, Ethics &amp; Governance<ul><li>
Support responsible AI and software principles, including transparency, data privacy, and bias mitigation.</li><li>
Adhere to S&amp;L&rsquo;s AI governance frameworks, ensuring all solutions comply with security, data privacy, and regulatory requirements.</li><li>
Contribute to thorough documentation of system design, testing, deployment, and ongoing auditing to ensure traceability.</li></ul> 
Strategic Support &amp; Professional Growth<ul><li>
Share AI and automation best practices with colleagues, contributing to mentoring and team-wide knowledge growth.</li><li>
Stay current on evolving trends in AI/ML, RPA, cloud computing, generative AI, and agentic AI; propose new tools and methodologies to improve team output.</li><li>
Support leadership in strategic planning through technical insights from prototypes, pilots, and production deployments.</li><li>
Contribute to the selection, integration, and long-term maintenance of cloud-based AI and software services, prioritizing security and system performance.</li></ul><div></div> 
This position offers the flexibility of a hybrid schedule with the expectation of 3 days per week in our downtown Chicago office, and 2 days remote from home.
Qualifications:

Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related technical field.</li><li>
3+ years of professional experience developing and deploying AI/ML solutions and automation/RPA solutions in a business environment.</li><li>
Demonstrated experience across both AI/ML (e.g., TensorFlow, PyTorch, scikit-learn, LLMs) and process automation (e.g., RPA, Power Automate, scripting, workflow tools).</li><li>
Proven ability to work directly with business stakeholders to assess feasibility, gather requirements, and translate business problems into technical solutions.</li><li>
Strong proficiency in software development (Python preferred), with hands-on experience building production-grade applications.</li><li>
Familiarity with professional software development workflows: Git-based source control, branching strategies, code review, and effective team collaboration on shared codebases.</li><li>
Experience writing and maintaining automated tests, debugging, and software troubleshooting.</li><li>
Exposure to agile development methodologies (Scrum, Kanban), CI/CD practices, and collaborative development environments.</li><li>
Basic experience deploying cloud services and APIs for AI workloads (AWS, Azure, or Google Cloud).</li><li>
Understanding of machine learning workflow: data preparation, model training, evaluation, and deployment, alongside best practices in software delivery.</li><li>
Strong analytical and problem-solving capabilities with a demonstrated ability to assess business processes and identify automation opportunities.</li><li>
Excellent communication skills for explaining technical information to both technical and non-technical audiences.</li><li>
Ability to adapt to evolving technology landscapes and work collaboratively in multidisciplinary teams.</li></ul><div></div> 
Preferred Qualifications<ul><li>
Experience with generative AI, large language models (LLMs), prompt engineering, and AI agent frameworks.</li><li>
Experience with enterprise integration patterns, APIs, and connecting disparate business systems.</li><li>
Familiarity with data engineering concepts (ETL/ELT, data pipelines, data warehousing).</li><li>
Experience in the power, energy, nuclear, engineering, or professional services industry.</li><li>
Experience conducting structured opportunity assessments, business case development, or cost-benefit analysis for technology initiatives.</li><li>
Certifications in AI/ML, RPA (e.g., UiPath, Microsoft Power Platform), or cloud platforms (AWS, Azure, GCP).</li><li>
Knowledge of data governance, responsible AI principles, and regulatory compliance for sensitive or regulated industries.</li></ul> 
Key Attributes for Success<ul><li>
Consultative Mindset: Naturally engages with business teams to understand the &ldquo;why&rdquo; behind requests, asks the right questions, and proposes solutions that address root causes.</li><li>
Dual-Skilled: Equally comfortable building an ML model and designing an automated workflow; understands when to apply AI, when to apply automation, and when to combine both.</li><li>
Ownership &amp; Follow-Through: Takes end-to-end responsibility for solutions from initial assessment through deployment and ongoing optimization.</li><li>
Bias Toward Action: Moves things forward with urgency and purpose; doesn&rsquo;t let ambiguity stall progress. Actively seeks out opportunities to improve how work gets done.</li><li>
Collaborative &amp; Influential: Builds trust across teams and stakeholders; can navigate complex organizational dynamics with professionalism and clarity.</li><li>
Curious &amp; Growth-Oriented: Stays current with rapidly evolving AI and automation trends; brings new ideas and approaches to the team.</li><li>
Resilient &amp; Adaptable: Thrives in a fast-paced, evolving environment; stays composed under pressure and pivots when circumstances change.</li></ul><div></div> 
We do not sponsor employees for work authorization in the U.S. for this position. 

Award-Winning Benefits:

At Sargent &amp; Lundy, we care about the health and well-being of our employees. Our commitment extends beyond the workplace, offering comprehensive healthcare plans and generous paid time off to support our team members in every aspect of their lives. We understand the importance of work-life balance, which is why we are proud to provide competitive, award-winning benefits. Our dedication to employee satisfaction has earned us the prestigious Top Workplaces Culture Excellence Award for compensation and benefits in 2022, 2023, and 2024.<div><div><div> 
Health &amp; Wellness</div><div> Financial Benefits</div><div> Work-Life Balance</div></div> 
<div><ul><li>
Health Plans: Medical, Dental, Vision</li><li>
Life &amp; Accident Insurance</li><li>
Disability Coverage</li><li>
Employee Assistance Program (EAP)</li><li>
Back-Up Daycare</li><li>
FSA &amp; HSA</li></ul><ul><li>
401(k)</li><li>
Pre-Tax Commuter Account</li><li>
Merit Scholarship Program</li><li>
Employee Discount Program</li><li>
Corporate Charitable Giving Program</li><li>
Tuition Assistance</li><li>
First Professional Licensure Bonus</li><li>
Employee Referral Bonus</li></ul><ul><li>
Paid Annual Personal/Sick Time (PST)</li><li>
Paid Vacation</li><li>
Paid Holidays</li><li>
Paid Parental Leave</li><li>
Paid Bereavement Leave</li><li>
Flexible Work Arrangements</li></ul></div> 
</div>
Compensation Range: $70,510.00 - $103,820.00 Transparency Statement: Sargent &amp; Lundy discloses compensation ranges that comply with all local and state regulations. The total compensation package for eligible positions will include a base salary or an hourly rate and a comprehensive benefits package, reflecting our commitment to rewarding performance and supporting the overall well-being of our employees. Individuals may also be eligible to participate in our yearly discretionary bonus. Awards &amp; Recognition:
<div></div>
Equal Opportunity:
<div>
Sargent &amp; Lundy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any protected status as defined by applicable law.</div></div>

Artificial Intelligence & Automation Engineer

PayPal

<div>The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
Job Summary:
This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.
Job Description:
Essential Responsibilities:
<ul><li>Lead the development and implementation of advanced data science models.</li><li>
Collaborate with stakeholders to understand requirements.</li><li>
Drive best practices in data science.</li><li>
Ensure data quality and integrity in all processes.</li><li>
Mentor and guide junior data scientists.</li><li>
Stay updated with the latest trends in data science.</li></ul>
Minimum Qualifications:<ul><li>
3+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.</li></ul><div><div><div><div><div><div><div><div><div><div><div>
Additional Responsibilities &amp; Preferred Qualifications:</div></div></div></div></div></div></div></div></div></div></div>
Subsidiary:
PayPal
Travel Percent:
0<ul><li></li></ul>
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:
Primary Location | Pay Range:
Chicago, Illinois | ($130,500.00 - $193,600.00 Annually)
Additional Location(s) | Pay Range:
No other locations are assigned to this requisition currently.
Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing&mdash;physical, emotional, and financial&mdash;delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
Who We Are: 
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please Join our Talent Community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.</div>

Sr Data Scientist

Harley Ellis Devereaux

<div>Mechanical Engineer - Science and Technology
Our Mechanical Engineering team is looking to add an experienced team member to our group of talented engineers. The Mechanical Engineer is an entry-level engineering role designed for individuals beginning their journey in the professional design of mechanical systems.
About HED
We are a team that is full of ideas, experience, creativity, passionate opinions, insatiable curiosity, uncompromising integrity, commitment, and skill. Our culture is about aspiration, embracing change and challenges, listening to (and learning from) each other, encouraging continual learning, and inspiring collective growth. As an inclusive, integrated architecture and engineering practice, we value the diversity of perspectives, experiences, abilities, and expertise that advance both the work we do, and the world we share.
Position Summary 
This role emphasizes learning, support, and skill development while contributing to project delivery. Working under close supervision, the Mechanical Engineer II assists in mechanical calculations, system layouts, and coordination efforts, gradually developing foundational engineering competencies, code understanding, and communication skills.
Essential Functions<ul><li>
Assist in performing basic mechanical engineering calculations &ndash; such as load calculations, ductwork sizing, sanitary and vent sizing - under supervision.</li><li>
Create and modify Revit models based on redlines and direction from project leads.</li><li>
Support the development of mechanical construction documentation by placing and tagging elements, updating plans, and reviewing markups.</li><li>
Collaborate with design teams to understand mechanical system coordination and general MEP integration.</li><li>
Learn and apply relevant building codes and standards under mentorship.</li><li>
Research mechanical equipment specifications and summarize manufacturer data for use in system layouts and coordination with other disciplines.</li><li>
Participate in submittal and RFI reviews with guidance from engineers.</li><li>
Engage in construction administration observation and field survey support activities.</li><li>
Take technical meeting notes on mechanical items to build communication familiarity and document coordination items.</li><li>
Complete assigned tasks within established timelines while tracking hours for self-performed work.</li><li>
Begin developing proficiency in QAQC workflows by reviewing personal work and learning HED&rsquo;s mechanical drafting and modeling standards.</li><li>
Participate in internal learning sessions, mentorship programs, and project team debriefs to accelerate development.</li><li>
Engage in the DWP process by participating in time estimation exercises and understanding task planning as it relates to electrical scope.</li></ul>
Requirements<ul><li>
Bachelor&rsquo;s degree in mechanical engineering, or equivalent, required.</li><li>
P.E. licensure required.</li><li>
2+ years in the AEC Industry required.</li><li>
Written and verbal communication skills commensurate with the position required.</li><li>
Strong organizational skills preferred.</li><li>
Revit proficiency required.</li><li>
Experience with computers, specifically for word processing, spreadsheet use/creation and email required.</li><li>
Detail-oriented, self-motivated, enthusiastic, flexible and curious personalities required.</li><li>
Ability to work well with others under deadline situations required.</li></ul>
Physical Requirements<ul><li>
Prolonged periods of sitting at a desk and working on a computer.</li><li>
Must be able to effectively communicate in writing and verbally via phone, video conferencing, and in-person.</li><li>
Visual acuity to perform responsibilities.</li></ul>
Work Environment<ul><li>
We embrace a hybrid model that promotes both autonomy and collaboration, including the freedom to work from home, with regular in-office days to connect with teammates and build culture.</li><li>
The office is a professional, open-space environment for collaborative and independent work.</li></ul>
Other Duties 
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.</div>

Mechanical Engineer - Science and Technology

Explore 192+ Machine learning engineer in Chicago this March. Find roles across top companies and apply now to boost your career.