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<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><div> 
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader">Role description</h3>
<div>AI/ML Engineering Intern

Associate I - Data Science 


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 looking for AI/ML Engineering Interns who are ready to push the boundaries of Agentic AI and Generative AI at scale. At UST, we don&rsquo;t just build models&mdash;we build intelligent, autonomous systems that redefine how enterprises operate. 


The opportunity:
<ul><li> Build Generative AI Systems: Design and implement production-grade RAG pipelines, including document chunking, embedding generation, retrieval strategies, and vector database integration.</li></ul>
<ul><li> Develop Agentic Workflows: Build and orchestrate autonomous multi-agent systems using frameworks such as LangGraph, CrewAI, and OpenAI Agent SDK.</li></ul>
<ul><li> Accelerate Software Development: Leverage modern AI-assisted developer tools such as Claude Code, Codex, and Cursor to enhance developer productivity and automate engineering workflows.</li></ul>
<ul><li> Develop Scalable AI Services: Build robust backend services and APIs using Python and FastAPI to support AI-powered applications.</li></ul>
<ul><li> Evaluate AI Systems: Define and implement evaluation frameworks for LLMs and AI agents, focusing on metrics such as faithfulness, answer relevancy, retrieval quality, and hallucination detection.</li></ul>
<ul><li> Apply AI Expertise: Utilize knowledge of machine learning, deep learning, NLP, and computer vision to build and enhance AI-driven solutions.</li></ul>
<ul><li> Collaborate on Cloud Deployments: Work with cloud platforms such as AWS, GCP, or Azure to build scalable AI systems.</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> Academic Background</li></ul>
<ul><li> Currently pursuing a 4-year undergraduate degree (minimum requirement) in Computer Science, Artificial Intelligence, Data Science, or a related field.</li></ul>
<ul><li> Master&rsquo;s and PhD students are strongly encouraged to apply.</li></ul>
<ul><li> Programming &amp; Engineering</li></ul>
<ul><li> Strong proficiency in Python and experience building backend systems or APIs.</li></ul>
<ul><li> Familiarity with modern frameworks such as FastAPI, Node.js, or similar.</li></ul>
<ul><li> Solid understanding of data structures, algorithms, and software engineering fundamentals.</li></ul>
<ul><li> Generative AI &amp; Agent Systems</li></ul>
<ul><li> Understanding of RAG architectures, embeddings, retrieval strategies, and vector databases.</li></ul>
<ul><li> Exposure to agent frameworks such as LangGraph, CrewAI, OpenAI Agent SDK, ADK, MCP, or Agent-to-Agent workflows.</li></ul>
<ul><li> Data &amp; Database Skills</li></ul>
<ul><li> Good understanding of SQL and relational databases.</li></ul>
<ul><li> Experience working with structured and semi-structured data.</li></ul>
<ul><li> Cloud &amp; Infrastructure</li></ul>
<ul><li> Familiarity with AWS, Google Cloud Platform, or Microsoft Azure.</li></ul>
<ul><li> Exposure to modern AI engineering tools and development environments.</li></ul>
<ul><li> Mathematical Foundations</li></ul>
<ul><li> Strong foundation in Probability, Statistics, Linear Algebra, and Calculus.</li></ul>
<ul><li> Personal Attributes</li></ul>
<ul><li> Curiosity to explore cutting-edge AI technologies.</li></ul>
<ul><li> Ability to learn quickly and work in fast-paced technical environments.</li></ul>
<ul><li> Strong problem-solving mindset and effective communication skills.</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: Georgia

Compensation Range: $56,000-$84,000 


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. 
<div></div>
<div>
Equal Employment Opportunity Statement</div><div> 
UST is an Equal Opportunity Employer.</div> 
<div></div>

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.
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div> 
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-VK5</div></div>
<h3 class="jobSectionHeader">Skills</h3>
<div>ai agent,statistical modeling,ai agent orchestration,natural language processing,prompt engineering,python,</div>
<h3 class="jobSectionHeader">Benefits</h3>
<h3 class="jobSectionHeader">Compensation range: $ 56,000.00 to 84,000.00 per year</h3></div></div></div>
 <div><h3 class="jobSectionHeader">About UST</h3>
<div>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></div>

AI/ML Engineering Intern

YO IT Consulting

<div>
 
 Job Title:
 
 AI/ML Engineer
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
 </li>
 <li>
 Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
 </li>
 <li>
 Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
 </li>
 <li>
 Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
 </li>
 <li>
 Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
 </li>
 <li>
 Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
 </li>
 <li>
 Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
 </li>
 <li>
 Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
 </li>
 <li>
 Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
 </li>
 <li>
 Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
 </li>
 <li>
 Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
 </li>
 <li>
 Exceptional written and verbal communication skills for effective collaboration and documentation.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
 </li>
 <li>
 Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
 </li>
 <li>
 Prior exposure to government or highly regulated cloud environments and compliance standards.
 </li>
 </ul>
</div>

Artificial Intelligence Engineer – Remote

Honeywell

<div>
 
 Job Description
 
 
 
 As a Data Engineer, you will be part of a high-performing global team delivering AI- and data-driven solutions for Honeywell&rsquo;s industrial customers, with a focus on IoT and real-time data processing. In this role, you will architect and implement scalable data pipelines and platforms that enable advanced analytics and AI capabilities, including large-scale machine learning models, intelligent automation, and real-time inference. You will work closely with cross-functional engineering and product teams at the intersection of IoT telemetry and modern data technologies to develop reliable, high-impact industrial solutions.
 
 
 You will report directly to our Data Engineering Manager and you&rsquo;ll work out of our Atlanta, GA location on a Hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work 100% onsite M-F.
 
 
 
 Key Responsibilities
 
 
 
 
 Data Engineering &amp; AI Pipeline Development:
 
 
 
 <ul>
 <li>
 Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable data capture and processing for AI/ML workloads
 </li>
 <li>
 Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows
 </li>
 <li>
 Develop and optimize RAG (Retrieval Augmented Generation) systems, including vector databases, embedding pipelines, and efficient retrieval mechanisms
 </li>
 <li>
 Create robust data integration solutions that combine industrial IoT data streams with enterprise data sources for AI model training and inference
 
 
 </li>
 </ul>
 
 DataOps
 
 
 
 <ul>
 <li>
 Implement DataOps practices to ensure continuous integration and delivery of data pipelines powering AI solutions
 </li>
 <li>
 Design and maintain automated testing frameworks for data quality, data drift detection, and AI model performance monitoring
 </li>
 <li>
 Create self-service data assets enabling data scientists and ML engineers to access and utilize data efficiently
 </li>
 <li>
 Design and maintain automated documentation systems for data lineage and AI model provenance
 
 
 </li>
 </ul>
 
 Collaboration &amp; Innovation
 
 
 
 <ul>
 <li>
 Partner with ML engineers and data scientists to implement efficient data workflows for model training, fine-tuning, and deployment
 </li>
 <li>
 Drive continuous improvement in data engineering practices and tooling
 </li>
 <li>
 Establish best practices for data pipeline development and maintenance in AI contexts
 </li>
 <li>
 Drive projects to completion while working in an agile environment with evolving requirements in the rapidly changing AI landscape
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 YOU MUST HAVE
 
 
 
 <ul>
 <li>
 Minimum 3 years of experience in data engineering with a strong grasp of Change Data Capture (CDC), ELT/ETL workflows, streaming replication, and data quality frameworks
 </li>
 <li>
 Deep expertise in building scalable data pipelines using Databricks, including Unity Catalog and Delta Live Tables
 </li>
 <li>
 Strong hands-on proficiency with PySpark for distributed data processing and transformation
 </li>
 <li>
 Solid experience working with cloud platforms such as Azure, GCP, and Databricks, especially in designing and implementing AI/ML-driven data workflows
 </li>
 <li>
 Proficient in CI/CD practices using GitHub Actions, Bitbucket, Bamboo, and Octopus Deploy to automate and manage data pipeline deployments.
 
 
 </li>
 </ul>
 
 WE VALUE
 
 
 
 <ul>
 <li>
 Experience building solutions on RAG and Agentic architectures and working with LLM-powered applications
 </li>
 <li>
 Expertise in real-time data processing frameworks (Apache Spark Streaming, Structured Streaming)
 </li>
 <li>
 Knowledge of MLOps practices and experience building data pipelines for AI model deployment
 </li>
 <li>
 Experience with time-series databases and IoT data modeling patterns
 </li>
 <li>
 Familiarity with containerization (Docker) and orchestration (Kubernetes) for AI workloads
 </li>
 <li>
 Strong background in data quality implementation for AI training data
 </li>
 <li>
 Experience working with distributed teams and cross-functional collaboration
 </li>
 <li>
 Knowledge of data security and governance practices for AI systems
 </li>
 <li>
 Experience working on analytics projects with Agile and Scrum Methodologies
 
 
 </li>
 </ul>
 
 US PERSON REQUIREMENT
 
 
 
 Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
 
 
 
 Benefits Of Working For Honeywell
 
 
 
 In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here
 
 
 
 About Honeywell
 
 
 
 Honeywell International Inc. (NYSE: HON) invents and commercializes technologies that address some of the world&rsquo;s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more here: https://www.honeywell.com/us/en
 
 
 The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 4/3/2026
 
 
 
 About Us
 
 
 
 Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.
</div>

Data Engineer

Warner Bros. Discovery

<div>Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.
Who We Are&hellip;
When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what&rsquo;s next&hellip;
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.
To see what it&rsquo;s like to work at CNN, follow @WBDLife on Instagram and X!<h2 class="jobSectionHeader">
About the Team</h2>
With deep domain expertise, advanced technical capabilities, and a proven track record of successful collaborations, the AI Enablement &amp; Machine Learning team at CNN is accelerating our digital transformation through strategic applications of ML and AI technologies. Our current products include popular, related and personalized content recommendations, contextual ad targeting, and site search-serving millions of CNN users via CNN web and mobile apps. This year we are partnering with teams across the company to democratize AI at CNN. Our &quot;multiplier&quot; approach allows our team to have outsized organizational impact by providing domain expertise, enabling teams, collaborating deeply, and building shared infrastructure.<h2 class="jobSectionHeader">
About the Job/Responsibilities</h2>
The team is composed of multiple squads: the platform squad along with cross-functional squads that leverage the platform to develop products. As a senior engineer on our platform squad, you will work on a team of 4+ engineers and optimize experimentation, development, and production operations for our ML and AI-powered experiences. You will build and maintain pipelines and APIs, provide developer tooling, and partner on integrations.
Here are some of the key challenges our team will tackle this year:<ul><li>
Optimize Site Performance: Dynamically deliver personalized content alongside cached assets, improving load times and enhancing user experience with features like page-level deduplication</li><li>
Enhance Data Access: Continue to evolve our pipelines to ensure the timeliest access to instrumentation and content data for feature and model development</li><li>
Accelerate Experimentation: Partner with our Data &amp; Analytics organization to improve the tooling and coordination involved in A/B testing</li><li>
Support Engineering with Foundational Models: As tools like Bedrock emerge, enhance our platform to support them, ensuring we&rsquo;re prepared for the next generation of AI-powered applications</li></ul>
Here are some of the things you can expect to do on a day-to-day basis:<ul><li>
Work closely with ML engineering to make data easily accessible and understandable</li><li>
Ensure the reliability and minimize the latency of data delivery for ML use cases</li><li>
Create transparency in our data pipelines with comprehensive telemetry</li><li>
Develop and enforce data engineering, security, data quality standards through automation</li><li>
Collaborate with other engineers to develop and enhance core capabilities, infrastructure, and architecture</li><li>
Leverage vended and open-source cloud technologies to reduce maintenance costs and improve efficiencies, ensuring our products remain profitable</li><li>
Ensure that code is readable, maintainable, scalable, observable, and resilient</li><li>
Independently own and execute on projects within your squad</li><li>
Collaborate effectively with engineers across the team to deliver projects scale and integrate ML and AI features into the website, mobile app, and editorial tools</li><li>
Contribute to the design of components and systems and represent your thoughts in architecture reviews</li><li>
Be responsive to incidents and participate effectively in incident retrospectives</li><li>
Champion improvements to developer experience, integrations, and testing processes</li><li>
Support, coach, mentor, and provide valuable feedback to junior engineers on your squad</li></ul>
Here is the approach we value:<ul><li>
Author, review, and optimize production-quality code that adheres to industry standards and best practices (IaC, CICD, etc.)</li><li>
Demonstrate a passion for software engineering, with a strong sense of responsibility for the code you and your team write</li><li>
Take ownership of issues and be a strong advocate for your team and the products</li><li>
Embrace failure as a learning opportunity&mdash;use research and experimentation to ultimately choose the best solutions that meet company goals</li><li>
Follow a progressive development methodology, moving from proof-of-concept to prototype to production release</li><li>
Enhance the effectiveness of your squad, the team, and our partners by sharing your knowledge, communicating about complex technologies and problems in simple terms, and driving technical decisions</li><li>
Collaborate across functions, squads, teams, and organizations to best serve our users</li></ul><h2 class="jobSectionHeader">
The Essentials</h2>
We&rsquo;re looking for someone with:<ul><li>
5+ years progressively complex experience designing, building, and shipping products</li><li>
3+ years experience in data engineering roles or backend roles with a data focus</li><li>
2+ years experience building data pipelines with IaC</li><li>
2+ years experience with Python</li><li>
2+ years experience in one of Golang, Java, C++</li><li>
2+ years experience with Kafka or equivalent</li><li>
Proficiency with Postgres or equivalent</li><li>
Proficiency with DynamoDB or equivalent</li><li>
Proficiency with Terraform or equivalent</li><li>
Deep understanding of common software data structures and algorithms and experience in modern data engineering technologies and best practices</li><li>
A proven track record of building real-time products for web scale that are highly available and performant</li><li>
A collaborative mindset, understanding that great results come from teamwork and a positive culture</li></ul><h2 class="jobSectionHeader">
The Nice to Haves</h2><ul><li>
Experience with ML feature stores</li><li>
Practical experience developing and maintaining ML data pipelines and tooling</li><li>
Understanding of experimentation frameworks and A/B testing methodologies</li><li>
Practical experience with recommendations, search and/or personalization</li></ul>
How We Get Things Done&hellip;
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.</div>

Senior Data Engineer

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><div> 
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader">Role description</h3>
<div>Senior AI/ML Engineer &mdash; Customer Data Platform

Lead I - Software Engineering 


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:

We are seeking a Senior AI/ML Engineer to lead the design and development of the advanced AI systems that make our Customer Data Platform (CDP) the authoritative source of truth for customer data &mdash; covering the entire US adult population. 


The opportunity:
<ul><li> Design and lead end-to-end identity resolution architecture, combining probabilistic models, ML, and embedding-based techniques to build the authoritative customer identity graph</li></ul>
<ul><li> Build and optimize large-scale entity matching systems across billions of records and multiple data domains &mdash; ensuring every US adult is accurately represented in CDP</li></ul>
<ul><li> Architect advanced candidate generation and blocking strategies (LSH, phonetic encoding, semantic similarity) that balance precision with computational feasibility at population scale</li></ul>
<ul><li> Design high-precision matching pipelines using ensemble approaches (rules + ML + LLM-based validation) to maximize accuracy of golden customer profiles</li></ul>
<ul><li> Develop scalable clustering and graph-based approaches for unified customer identity resolution with clear confidence scoring and auditability</li></ul>
<ul><li> Lead implementation of embedding pipelines and similarity search systems using transformer models for semantic-level identity matching</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> Bachelor's or Master's degree in Computer Science, Data Science, or related field</li></ul>
<ul><li> 6+ years of experience in ML/AI engineering</li></ul>
<ul><li> Proven experience building production-grade entity resolution or identity graph systems at scale</li></ul>
<ul><li> Experience designing LLM-based applications in enterprise environments with high accuracy and trust requirements</li></ul>
<ul><li> Technical Skills:</li></ul>
<ul><li> Advanced programming: Python</li></ul>
<ul><li> Deep expertise in ML algorithms for similarity, classification, and clustering &mdash; particularly in identity resolution contexts</li></ul>
<ul><li> Strong experience with transformer models, embeddings, and semantic search at population scale</li></ul>
<ul><li> Hands-on experience with LLM APIs and orchestration frameworks</li></ul>
<ul><li> Strong SQL and experience with distributed data processing (Spark, Dask)</li></ul>
<ul><li> Experience with vector databases and ANN search systems (FAISS, Pinecone, etc.)</li></ul>
<ul><li> Expertise in ML lifecycle management (MLflow or equivalent)</li></ul>
<ul><li> Understanding of data governance, privacy, and security requirements for customer identity data</li></ul>
<ul><li> Knowledge, Skills, and Abilities</li></ul>
<ul><li> Strong system design and architectural thinking for AI/ML systems at population scale</li></ul>
<ul><li> Ability to balance precision, recall, and scalability in identity resolution systems &mdash; understanding that accuracy directly impacts CDP's authority as the source of truth</li></ul>
<ul><li> Strong understanding of data semantics and customer domain modeling across diverse data sources</li></ul>
<ul><li> Leadership in driving AI engineering best practices, standards, and quality benchmarks</li></ul>
<ul><li> Ability to collaborate across data engineering, product, security, and business teams to deliver trusted customer intelligence</li></ul>
<ul><li> Licenses and Certifications</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: Georgia

Compensation Range: $75,000-$113,000 


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. 
<div></div>
<div>
Equal Employment Opportunity Statement</div><div> 
UST is an Equal Opportunity Employer.</div> 
<div></div>

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.
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UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div> 
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#UST</div>
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#CB</div>
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#LI-AP4</div></div>
<h3 class="jobSectionHeader">Skills</h3>
<div>agentic ai,api integration,generative ai,machine learning,</div>
<h3 class="jobSectionHeader">Benefits</h3>
<h3 class="jobSectionHeader">Compensation range: $ 75,000.00 to 113,000.00 per year</h3></div></div></div>
 <div><h3 class="jobSectionHeader">About UST</h3>
<div>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></div>

Senior AI/ML Engineer — Customer Data Platform

The Home Depot

<div>Position Purpose:
The Senior Manager, Program Management of AI / Automation Enablement, is accountable for end-to-end ownership of high-impact AI-powered solutions, leading all phases from vision and business requirements definition through delivery, integration, and adoption. This role owns the process of identifying business needs, shaping solution requirements, and driving execution in close partnership with technical teams. The Sr Manager ensures that each initiative is prioritized, clearly defined, and delivered on accelerated timelines&mdash;while maintaining a focus on reliability, ongoing validation, and measurable results (such as improved efficiency, accuracy, and decision-making). This role drives operational leverage by acting as the primary liaison, program orchestrator, and change champion between business stakeholders, Data Science, UX, Product Management and Engineering partners.
Key Responsibilities:<ul><li>
25% - AI Solutioning - Define the problem and solution context with the business, and translate ambiguous and manual workflows into structured, scalable solutions for agentic systems. Act as the primary technical translator, leveraging AI/ML framework understanding to bridge the gap between business needs and technical possibilities. Leverage technical fluency to guide balanced team on system integrations and orchestration processes, ensuring the solution is feasible and scalable for the business.</li><li>
30% - People Leadership - Conduct annual and mid-year reviews, reviewing individual development plans and providing performance feedback. Lead, direct work, mentor, and develop a team of program leads and specialists, fostering a culture of high performance and program rigor. Provide dotted-line, cross-functional management and direction to the Balanced Team members (i.e., Product Mgmt., Engineering, Data Science, and UX) to ensure seamless execution and collaboration on deliverables. Foster collaboration with direct reports and matrixed team members to drive value, identify and resolve impediments.</li><li>
30% - Program Orchestration &amp; Delivery - Partner extensively with business teams to design and embed contextual AI solutions into key workflows. Coordinate the development of AI solutions and automation across business units and functional domains, ensuring the roadmap is executable and that reusable, governed components are leveraged. Define the operating model and integration strategy for functional AI tool adoption. Drive rigor and clarity into complex programs, translating technical risks and dependencies into business impact and vice-versa. Manage program tracking against the phased roadmap, focusing on schedule, scope, resource alignment, and mitigating cross-functional dependencies.</li><li>
15% - Stakeholder Alignment &amp; Value Realization - Develop change management plan to ensure seamless integration and adoption of AI solutions with business teams. Serve as the primary program point of contact for the business teams to communicate transparent status updates and manage expectations. Ensure alignment of the AI program with broader enterprise-wide transformation goals. Monitor agents, measure results and report business outcomes to executive stakeholders. Focus resources on initiatives that deliver measurable time savings and demonstrate significant business value (ROI).</li></ul>
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to the Sr Director</li><li>
This Position Has 3 Direct Reports.</li></ul>
Travel Requirements:<ul><li>
Typically requires overnight travel less than 5% of the time.</li></ul>
Physical Requirements:
<ul><li>Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.</li></ul>
Working Conditions:
<ul><li>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul>
Minimum Qualifications:<ul><li>
Must be 18 years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
10+ years of total professional experience in a business, program, or product leadership capacity.</li><li>
5+ years of direct experience leading the implementation AI, ML, or Automation solutions into business-critical workflows at scale in a retail or large enterprise environment.</li><li>
5+ years of direct people management experience or demonstrated experience in leading cross-functional teams.</li><li>
Business Acumen &amp; Translation: Proven ability to translate complex technical concepts into clear business implications and actionable requirements.</li><li>
Technical Process Optimization: Expertise in translating ambiguous or manual workflows into structured, scalable technology-driven systems and solutions.</li><li>
AI/ML Framework Understanding: Proficiency with the components of modern LLM architecture, GenAI systems, and model serving concepts.</li></ul>
Preferred Qualifications:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li><li>
Prior experience working as part of a collaborative, cross-functional, modern software design and development team.</li><li>
Demonstrated experience with formal change management and/or leading business process transformation enabled by technology.</li><li>
Experience with Program Governance standards, including defining repeatable, governed components and applying ethical AI principles.</li><li>
Familiarity with orchestration frameworks and systems integration patterns used to connect AI services to enterprise applications (e.g., workflow orchestration, API gateways, vector databases, and cloud-native AI pipelines)</li></ul>
Minimum Education:
<ul><li>The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul>
Preferred Education:
<ul><li>No additional education.</li></ul>
Minimum Years of Work Experience:<ul><li>
10</li></ul>
Preferred Years of Work Experience:
<ul><li>10</li></ul>
Minimum Leadership Experience:
<ul><li>5</li></ul>
Preferred Leadership Experience:
<ul><li>5</li></ul>
Certifications:<ul><li>
None</li></ul>
Competencies:
<ul><li>Decision Quality</li><li>
Ensures Accountability</li><li>
Plans and Aligns</li><li>
Balances Stakeholders</li><li>
Develops Talent</li></ul></div>

Sr Manager AI Program Management

<div><div>Position Purpose:
The Home Depot is seeking a Senior CIAM Engineer to support the THDCustomerIAM online identity platform, ensuring seamless, secure, and scalable customer authentication and authorization experiences. This role will be a critical member of the CIAM team, working with ForgeRock, Ping Identity, and other cutting-edge identity solutions to drive intelligent access, journey orchestration, and low-code/no-code development. Strong experience/proficiency in CIAM engineering, Authentication/Authorization frameworks, High-scale customer-facing identity platforms, AI/ML DevSecOps &amp; Agile principles, and Identity Fraud Prevention. 
Key Responsibilities:<ul><li>
100% Deliver Execution, Plans &amp; Align, Problem Solving - Design automation workflows and capabilities in support of data collection, investigation and incident response Develop threat hunting and data analysis strategy and capabilities Identify and propose new technologies, methodologies and/or approaches to detecting malicious activity Utilize indicators to scope and respond proactively to emerging threats Design, build, configure, maintain and monitor cybersecurity threat defense capabilities and user access management</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Manager or Sr. Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Experience with AI/ML-based DevSecOps, Data-Analysis, Fraud Detection &amp; Identity Verification.</li><li>
Knowledge of Cloud IAM (Azure AD, Google Identity).</li><li>
Familiarity with zero-trust security models and passwordless authentication.</li></ul>
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li></ul></div> 
Apply End Date: 05/13/2026</div>

Senior Cybersecurity Engineer - CIAM (Remote)

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