solutions engineer

ai engineer

IHG Hotels & Resorts

<div><p>The <b>AI Engineer</b> will build, test, and maintain the models, agentic solutions and infrastructure that power our AI solutions.
</p><p>The ideal candidate has a solid foundation in software development, a passionate interest in AI, and a relentless curiosity to learn. The <b>AI Enginee</b>r is an experienced individual contributor within a project team.
</p><p><b>Your Day to Day</b></p><ul><li>
Contribute to the development of AI/ML models and agentic applications by writing, testing, and documenting code under the guidance of senior team members.
</li><li>Assist in preparing and processing data for model training and evaluation. Help build and maintain data pipelines to support our AI services.
</li><li>Participate in the testing and validation of AI models to ensure they are accurate and performant. Assist in monitoring and maintaining deployed applications.
</li><li>Work closely with other engineers, data scientists, and product managers in an agile environment to deliver on team goals.
</li><li>Actively learn from senior members of the team, participate in code reviews, and continuously develop your skills in AI, machine learning, and software engineering.
</li><li>Uphold high standards for code quality, testing, and documentation. Champion software engineering best practices within the team. Deliver code that is secure, reliable and supportable.
</li><li>Demonstrate a strong curiosity for leveraging AI to improve personal and team productivity. Actively find and implement AI-powered tools and workflows to make your own role and development processes more efficient. Effectively use AI code assistants to deliver code.
</li><li>Ensure application diagrams and documentation stay current and relevant.
</li><li>Adherence to agile development methodologies.</li></ul><p>
</p><p><b>What You Will Bring</b></p><ul><li><p>
Education
</p><ul><li><div>Bachelors in a relevant field of work or an equivalent combination of education and work-related experience.
</div></li></ul></li><li><p>Experience
</p><ul><li><div>Typically, a minimum of 5+ years of software engineering experience, progressive work-related experience with demonstrated proficiency in multiple disciplines, technologies, or processes related to the position.
</div></li><li><div>Some professional or academic experience in software development, preferably using Python.
</div></li><li><div>Demonstrated interest in AI and machine learning through coursework, personal projects, or internships.
</div></li><li><div>Solid understanding of core computer science principles and software engineering fundamentals.
</div></li><li><div>A collaborative mindset and strong communication skills.
</div></li><li><div>Experience working with large datasets and complex data pipelines.
</div></li><li><div>Ability to work effectively in a collaborative, agile team environment.
</div></li><li><div>An innate curiosity and a portfolio or history that demonstrates a commitment to continually learning new technologies as they evolve.</div></li></ul></li></ul><p>
</p><ul><li><p>Technical Skill &amp; Knowledge
</p></li></ul><p></p><ul><li><div>Strong programming skills in Python.
</div><ul><li><div>Foundational knowledge of machine learning concepts and algorithms. Familiarity with common libraries like Scikit-learn, Pandas, or NumPy is a plus.
</div></li><li><div>Interest in learning deep learning frameworks such as TensorFlow or PyTorch.
</div></li><li><div>Good analytical and problem-solving skills with keen attention to detail.
</div></li><li><div>Familiarity with Git and version control workflows.
</div></li><li><div>Theoretical understanding of machine learning, deep learning, and natural language processing (NLP).
</div></li><li><div>Hands-on experience with at least one major cloud provider (GCP, AWS, Azure) and their associated AI/ML services.
</div></li><li><div>Experience with both SQL and NoSQL databases, and proficiency with data processing technologies like Spark is a plus.
</div></li><li><div>Understanding of microservices architecture, API design (e.g., REST, gRPC), and containerization technologies (e.g., Docker, Kubernetes).</div><div>
</div></li></ul></li></ul><div></div><p><b>Travel - 10%</b></p><p><b>
Location - Our hybrid work structure is an expectation of three (3) days a week in office. This expectation may be adjusted to evolve with the changing needs of the business.
</b></p><p><b>The salary range for this role is $119,000 to $145,000. This role is also eligible for bonus pay. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401K, and other benefits to employees.</b><br>
<br>
#LI-ZY1
</p><p></p><div><div><div>At IHG Hotels &amp; Resorts, we work together to deliver True Hospitality for Good on a global scale. With corporate offices and over 6,000 hotel destinations worldwide, a career at IHG is the perfect way to broaden your horizons. You&rsquo;ll experience our unique culture and brilliant colleagues who will support and inspire you. With a host of corporate opportunities to choose from, wherever you are on your career journey, and whatever you want to achieve there&rsquo;s Room for You at IHG.<br>
</div><div></div><br>
<div>Over recent years, we&rsquo;ve transformed our company. We have bold ambitions to drive performance and maintain our relentless focus on growth in order to be the hotel company of choice that guests &amp; owners love.<br>
</div><div></div><br>
<div>We are a hospitality business at our core and value connections and being together helps us foster a unique sense of belonging that also supports productivity. That&rsquo;s why here at IHG, we give our colleagues flexibility and balance &ndash; working in a hybrid way, blending office and remote working collectively. We recognise that every role is different, that&rsquo;s why leaders work with teams to determine how and when they collaborate.<br>
</div><div></div><br>
<div>We provide a wide range of benefits designed to help you live your best work life. These include impressive room discounts across our many properties, recharge days and volunteering days throughout the year. Through our myWellbeing framework, we are committed to supporting wellbeing in your health, lifestyle, and workplace. We offer a unique and inclusive culture, where there is always Room for You to belong, grow and make a difference.<br>
</div><div></div><br>
<div>Our mission is to welcome everyone and create inclusive teams where we celebrate difference and encourage colleagues to bring their whole selves to work. IHG Hotels &amp; Resorts provides equal employment opportunities to applicants and employees without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other category protected by applicable laws. We promote a culture of trust, support, and acceptance. Always welcoming different backgrounds, experiences, and perspectives.
</div>
</div></div><div></div><p>Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.</p><p></p><p><b>
Important information</b>:</p>
<ul>
<li>The salary range listed is the lowest to highest pay scale we, in good faith, believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee&rsquo;s pay position within the pay range will be based on several factors, including relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs.</li>
<li>No amount of pay is considered to be wages or compensation until it is earned, vested, and determinable. The amount and availability of any bonus, commission, or other form of compensation allocable to a particular employee remain in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</li>
<li>If you require reasonable accommodation during the application process, please click here.</li>
<li>IHG does not accept applications, inquiries, or unsolicited CVs/resumes from staffing or recruiting agencies. Please click here for our agency policy.</li>
<li>If you are a resident of or applying to a job opening in the State of Washington, please click here to read about applicable benefits.</li></ul></div>

AI Engineer

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Senior AI/ML Engineer &mdash; Customer Data Platform</b></p>
<p><b>
Lead I - Software Engineering</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
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.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<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><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need</b><b>:</b></p>
<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><br>
<p></p>
<p>
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.</p>
<p><b>
Role Location:</b><b> </b><b>Georgia</b></p>
<p><b>
Compensation Range</b>: $75,000-$113,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
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.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
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.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
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.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>agentic ai,api integration,generative ai,machine learning,</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 75,000.00 to 113,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></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

Warner Bros. Discovery

<div><p><b><i>Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.</i></b></p><p></p><p><b>
Who We Are&hellip;
</b></p><p>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 <i>storytellers</i> bringing our characters to life, the<i> creators</i> bringing them to your living rooms and the <i>dreamers</i> creating what&rsquo;s next&hellip;</p><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p>
To see what it&rsquo;s like to work at CNN, follow @WBDLife on Instagram and X!</p><p></p><h2 class="jobSectionHeader"><b>
About the Team</b></h2><p>
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.</p><h2 class="jobSectionHeader"><b>
About the Job/Responsibilities</b></h2><p>
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.</p><p>
Here are some of the key challenges our team will tackle this year:</p><ul><li><b>
Optimize Site Performance: </b>Dynamically deliver personalized content alongside cached assets, improving load times and enhancing user experience with features like page-level deduplication</li><li><b>
Enhance Data Access: </b>Continue to evolve our pipelines to ensure the timeliest access to instrumentation and content data for feature and model development</li><li><b>
Accelerate Experimentation: </b>Partner with our Data &amp; Analytics organization to improve the tooling and coordination involved in A/B testing</li><li><b>
Support Engineering with Foundational Models: </b>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><p>
Here are some of the things you can expect to do on a day-to-day basis:</p><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><p>
Here is the approach we value:</p><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"><b>
The Essentials</b></h2><p>
We&rsquo;re looking for someone with:</p><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"><b>
The Nice to Haves</b></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><p></p><p><b>
How We Get Things Done&hellip;</b></p><p></p><p>
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.</p><p></p><p><b>
Championing Inclusion at WBD</b></p>
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.<p></p><p>
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.</p></div><p></p>

Senior Data Engineer

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>AI/ML Engineering Intern</b></p>
<p><b>
Associate I - Data Science</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
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.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<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><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need</b><b>:</b></p>
<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<b>.</b></li></ul><br>
<p></p>
<p>
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.</p>
<p><b>
Role Location: Georgia</b></p>
<p><b>
Compensation Range</b>: $56,000-$84,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
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.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
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.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
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.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-VK5</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>ai agent,statistical modeling,ai agent orchestration,natural language processing,prompt engineering,python,</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 56,000.00 to 84,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></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

The Home Depot

<div><p><b>Position Purpose:</b></p><div><p>
The Cybersecurity Principal Engineer, AI Identity (Non‑Human Identity) is a senior, hands‑on technical leader within The Home Depot Cybersecurity Architecture &amp; Innovation team. This role provides enterprise‑wide thought leadership and architectural direction for Identity and Access Management (IAM) with a specialized focus on AI, agentic AI, and Non‑Human Identity (NHI).</p><p></p><p>
The Principal Engineer serves as a recognized company and industry expert, combining deep IAM expertise with a broad understanding of cybersecurity, cloud, and modern enterprise technologies. The role operates in a horizontal capacity, supporting and guiding multiple cybersecurity and technology functions through solution design, evaluation, prototyping, documentation, and operationalization.</p><p></p><p>
This position plays a critical role in shaping Home Depot&rsquo;s AI identity strategy and maturity, defining the foundational IAM architecture and technology enablement stack required to securely support AI workloads, services, and autonomous agents. The Principal Engineer partners closely with cybersecurity, engineering, architecture, and operations teams to ensure identity solutions are scalable, secure, and aligned to both current and future‑state enterprise architecture.</p></div><p><b><br>
Key Responsibilities:</b></p><ul><li>
100% Deliver Execution, Plans &amp; Aligns - Review, analyze, identify, and provide solutions to mitigate potential security control gaps enterprise wide; Collaborate across teams to reduce vulnerabilities, risks, and incident management; Partner with engineers, technology, and business partners to implement and maintain a secure environment</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically reports to Distinguished Engineer</li><li>
This position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
No travel required.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><div><ul><li>
Extensive enterprise experience in Identity and Access Management (IAM), including identity provisioning, authentication, and authorization.</li><li>
Hands‑on experience with Non‑Human Identity (NHI), such as service accounts, workload identities, or machine identities</li><li>
Proven ability to independently evaluate, design, and prototype complex security or identity solutions</li><li>
Experience working within large, highly integrated enterprise technology environments</li><li>
Strong understanding of core cybersecurity concepts, including authentication/authorization, encryption, segmentation, and secure system design</li><li>
Broad technical knowledge across cloud, compute, networking, databases, and application development</li><li>
Experience with cloud platforms (e.g., AWS, Azure, or equivalent) and cloud‑native identity patterns</li><li>
Proficiency in at least one programming or scripting language used for prototyping, automation, or integration</li><li>
Ability to produce clear technical documentation, including architecture artifacts and design decisions</li><li>
Strong collaboration skills and the ability to provide technical guidance across cross‑functional teams</li></ul></div><p></p><p><b><br>
Preferred Qualifications:</b></p><div><ul><li>
Demonstrated experience applying IAM concepts to AI, agentic AI, and emerging AI technology patterns</li><li>
Experience designing or supporting identity strategies for AI workloads, services, or autonomous agents</li><li>
Proven experience developing holistic reference architectures, roadmaps, and future‑state designs</li><li>
Familiarity with Zero Trust principles and modern identity‑centric security architectures</li><li>
Experience guiding engineering and operations teams through operationalization and technology handoff</li><li>
Knowledge of industry cybersecurity frameworks and standards (e.g., NIST or similar)</li><li>
Experience conducting technology evaluations, proofs of concept, and capability assessments</li><li>
Ability to represent IAM or security architecture in cross‑functional design and innovation forums</li><li>
Demonstrated success operating independently in fast‑moving, evolving technology initiatives</li></ul></div><p><br>
</p><p><b>Minimum Education:</b></p><ul><li>
The knowledge, skills, and abilities are 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><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
10</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Decision Quality</li><li>
Plans and Aligns</li><li>
Develops Talent</li><li>
Manages Conflict</li></ul></div><p></p>

Cybersecurity Principal, AI Identity (REMOTE)

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 AI/ML Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <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

4P Consulting Inc.

<div><div><b>Data Engineer IV &ndash; Modern Enterprise / Lakehouse / AI-Assisted
</b><p><b>Experience Level: </b>5+ Years
<br>
<b>Work Model: </b>On-Prem + Cloud Hybrid Environments
</p><p>Location- Atlanta, GA
</p><p>Client- Georgia Power
</p><p></p><h2 class="jobSectionHeader"><b>Position Overview
</b></h2><p>The Data Engineer IV is a modern enterprise data engineering professional responsible for building, optimizing, and maintaining scalable data platforms in a hybrid on-premises and cloud environment. This role supports enterprise analytics, reporting, and AI-driven initiatives using a Lakehouse architecture, with Databricks as the strategic future-state platform.
</p><p>The ideal candidate combines strong SQL and data modeling expertise with modern Spark-based technologies and familiarity with AI-assisted development tools.
</p><p></p><h2 class="jobSectionHeader"><b>Core Responsibilities
</b></h2><h3 class="jobSectionHeader"><b>Enterprise Data Engineering
</b></h3><ul><li>Design, build, and maintain batch and/or streaming data pipelines
</li><li>Develop and optimize ETL processes using SSIS or similar tools
</li><li>Work with relational databases, data lakes, and NoSQL systems
</li><li>Normalize and model data using:
<ul><li>Star schema
</li><li>Dimensional modeling techniques
</li></ul></li><li>Transform raw data into curated, reusable datasets
</li></ul><p></p><h3 class="jobSectionHeader"><b>Lakehouse &amp; Modern Data Platforms
</b></h3><ul><li>Develop and support solutions on Spark-based platforms
</li><li>Work with Databricks Lakehouse architecture (primary future-state platform)
</li><li>Support analytics and reporting via Power BI
</li><li>Manage data orchestration workflows (e.g., Airflow or equivalent)
</li><li>Implement CI/CD and Git-based workflows for data pipelines
</li></ul><p></p><h3 class="jobSectionHeader"><b>AI-Assisted &amp; Modern Engineering Practices
</b></h3><ul><li>Leverage AI tools or copilots to assist with:
<ul><li>SQL development
</li><li>Pipeline generation
</li><li>Testing
</li><li>Documentation
</li></ul></li><li>Explore automation or AI agents to streamline engineering workflows
</li></ul><p></p><h2 class="jobSectionHeader"><b>Technical Skills Required
</b></h2><h3 class="jobSectionHeader"><b>Core Technologies
</b></h3><ul><li>Strong SQL and data modeling experience
</li><li>Hands-on experience with:
<ul><li>SQL Server
</li><li>SSIS (or similar ETL tools)
</li><li>Power BI
</li></ul></li><li>Experience with Spark-based platforms
</li><li>Working knowledge of Databricks (preferred strategic platform)
</li></ul><h3 class="jobSectionHeader"><b>Data Engineering Competencies
</b></h3><ul><li>Batch and real-time pipeline development
</li><li>Data quality and validation practices
</li><li>Relational and NoSQL systems
</li><li>Orchestration tools (Airflow or equivalent)
</li><li>CI/CD pipelines
</li><li>Git-based version control
</li></ul><p></p><h2 class="jobSectionHeader"><b>Soft Skills &amp; Work Environment Fit
</b></h2><ul><li>Strong written and verbal communication skills
</li><li>Comfortable collaborating with engineers and managers in:
<ul><li>Electric utility
</li><li>Operations-heavy domains
</li></ul></li><li>Able to operate in regulated, production-critical enterprise environments
</li><li>Analytical, detail-oriented, and solution-focused
</li></ul><p></p><h2 class="jobSectionHeader"><b>Experience Requirements
</b></h2><ul><li>5+ years in data engineering or related software engineering roles
</li><li>Experience in enterprise environments with hybrid on-prem and cloud systems</li></ul></div></div>

Data Engineer IV- 4P/619

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