machine learning engineer

Machine Learning Engineer

Motorola Solutions

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

Intellect Group

<div>
 
 
 Junior&ndash;Mid-Level AI Engineer &ndash; Chicago, IL
 
 
 
 
 Location: Chicago, IL &mdash; Hybrid
 
 
 
 
 Salary: $110,000&ndash;$150,000 base salary, depending on experience
 
 
 
 
 Employment Type: Permanent | Full-Time
 
 
 
 
 
 
 Intellect Group is partnering with high-growth technology companies across Chicago that are hiring Junior and Mid-Level AI Engineers.
 
 
 
 
 
 These opportunities are suited to engineers with approximately 1&ndash;3 years of professional experience, as well as exceptional graduates with strong internships, research experience, or substantial hands-on AI projects.
 
 
 
 
 
 You will work alongside experienced engineers, data scientists, and product teams to build AI systems that move beyond experimentation and into production. Our clients include funded startups, scaling technology companies, and established businesses operating across AI, fintech, healthcare, SaaS, and logistics.
 
 
 
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 &bull; Designing, developing, and deploying machine learning models and AI-powered product features
 
 
 &bull; Building applications using LLMs, generative AI, NLP, and deep learning
 
 
 &bull; Developing end-to-end AI pipelines covering model training, deployment, evaluation, and monitoring
 
 
 &bull; Building RAG pipelines, semantic search tools, AI agents, and conversational applications
 
 
 &bull; Developing APIs and services that integrate AI models into customer-facing products
 
 
 &bull; Collaborating with software engineers, data scientists, and product teams to solve real-world business problems
 
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 &bull; Approximately 1&ndash;3 years of experience in AI engineering, machine learning, data science, or software engineering
 
 
 &bull; Exceptional graduates with relevant internships, research, or technically strong personal projects will also be considered
 
 
 &bull; Strong Python programming skills
 
 
 &bull; Experience with PyTorch, TensorFlow, Scikit-learn, Hugging Face, or similar frameworks
 
 
 &bull; A solid understanding of machine learning, neural networks, transformers, and model evaluation
 
 
 &bull; Exposure to LLMs, generative AI, NLP, or deep learning
 
 
 &bull; Strong problem-solving and communication skills, with the ability to explain the reasoning behind your work
 
 
 
 
 
 
 Desirable Experience
 
 
 
 &bull; RAG, AI agents, vector databases, embeddings, or semantic search
 
 
 &bull; AWS, Microsoft Azure, or Google Cloud Platform
 
 
 &bull; Docker, FastAPI, Kubernetes, CI/CD, or other MLOps technologies
 
 
 &bull; SQL, data pipelines, API development, and production deployment
 
 
 &bull; Open-source contributions, academic research, Kaggle competitions, or personal AI projects
 
 
 
 
 
 
 What&rsquo;s on Offer:
 
 
 
 &bull; A base salary of $110,000&ndash;$150,000
 
 
 &bull; Annual bonuses or equity options
 
 
 &bull; Medical, dental, and vision insurance
 
 
 &bull; 401(k) plans with potential employer matching
 
 
 &bull; Flexible paid time off and paid parental leave
 
 
 &bull; Learning and professional-development support
 
 
 &bull; Hybrid working and commuter benefits
 
 
 &bull; Clear progression into Senior, Lead, and Staff AI Engineering roles
 
 
 
 
 
 
 Apply Now
 
 
 
 If you are an early-career AI Engineer looking to build meaningful, production-ready AI systems, we would like to hear from you. Apply with your r&eacute;sum&eacute; today. Links to GitHub profiles, portfolios, research papers, or personal AI projects are strongly encouraged.
 
 
 
 
 
 
 A member of the Intellect Group team will contact suitable applicants to discuss relevant opportunities across the Chicago market.
 
 
</div>

Artificial Intelligence Engineer

Capital One

<div>Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Data Solutions and Model team builds the machine learning and AI agents that help our customers in the Global Payment Network. We create models and AI tools to support fraud/risk, merchant acceptance, merchant intelligence and monitoring. 
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>
The Ideal Candidate is:<ul><li>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
Experience with Large Language Models (LLMs), including utilizing embedding models and working with vector databases</li><li>
Experience designing and implementing AI workflows and autonomous AI agents</li></ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Anytown, IL: $147,100 - $167,900 for Princ Associate, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling

iManage

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

Senior AI Software Engineer

<div>Role description 
AI/ML Engineer

ML Engineer I 


Who We Are:

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

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

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

Visit us at UST.com. 


You Are:

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


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


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


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

Role Location: Illinois

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


Benefits

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

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

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

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

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


What we believe:

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


Humility:

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

Humanity:

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

Integrity:

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


Equal Employment Opportunity Statement 
UST is an Equal Opportunity Employer. 


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

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


#UST

#CB

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

AI/ML Engineer 

Arrive Logistics

<div><div>Who We Are

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

Who We Want

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

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