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ai/ml student assistant - summer 2026 -eosd Jobs in Atlanta

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ai ml student assistant summer 2026 eosd

Georgia Tech

<div></div><div><div><div><div><div><ul><li>500957
</li> </ul></div><div></div><div><ul><li>Atlanta, Georgia
</li> </ul></div><div></div><div><ul><li>Other
</li> </ul></div><div></div><div><ul><li>Students: Undergraduate Student Asst. (SA)
</li> </ul></div></div><div></div><div><div><div>Add To Favorites
</div></div> <div></div><div>View Favorites
</div></div><div><h3 class="jobSectionHeader"><b>Overview:</b></h3>
<p>
The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing more than $940 million of problem-solving research annually for government and industry. GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S. federal government, state, and industry.</p>
<h3 class="jobSectionHeader"><b>
Georgia Tech's Mission and Values</b></h3>
<p>
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:</p>
<p>
1. Students are our top priority.
<br>
2. We strive for excellence.
<br>
3. We thrive on diversity.
<br>
4. We celebrate collaboration.
<br>
5. We champion innovation.
<br>
6. We safeguard freedom of inquiry and expression.
<br>
7. We nurture the wellbeing of our community.
<br>
8. We act ethically.
<br>
9. We are responsible stewards.</p>
<p>
Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.</p>
<h3 class="jobSectionHeader"><b>
Job Description</b></h3>
<p>
The Electronics, Optics and Systems Division (EOSD) is searching for a Student Assistant to support GTRI's Deputy Director for Research for Summer 2026. As a Student Assistant supporting GTRI&rsquo;s Deputy Director for Research in Atlanta, GA, your roles and responsibilities include but are not limited to:</p>
<p><b>
Data Repository Development &amp; Management</b></p>
<ul>
<li>Design and build a centralized repository for trip reports, meeting minutes, activity reports, and source data</li>
<li>Develop standardized file naming conventions, folder structures, and metadata tagging systems</li>
<li>Ensure data integrity, version control, and backup procedures are maintained</li>
<li>Monitor repository performance and recommend improvements to data architecture</li>
</ul>
<p><b>Data Integration &amp; Automation</b></p>
<ul>
<li>Support automated ingestion of documents from multiple sources into the repository</li>
<li>Create scripts and workflows to extract, process, and categorize incoming documents</li>
<li>Build and maintain automated reporting templates and dashboards</li>
<li>Test and troubleshoot automation systems to ensure accuracy and reliability</li>
</ul>
<p><b>Automated Report Generation</b></p>
<ul>
<li>Design templates for recurring reports that pull data automatically from the repository</li>
<li>Generate periodic summaries of activities, engagements, stakeholder interactions, and key metrics</li>
<li>Create visualizations (charts, graphs, timelines) to enhance report clarity and impact</li>
<li>Ensure automated reports are generated on schedule and distributed to appropriate audiences</li>
</ul>
<p><b>Stakeholder Engagement Planning &amp; Tracking</b></p>
<ul>
<li>Maintain stakeholder database with contact information, interaction history, and engagement preferences</li>
<li>Track all engagement activities, meeting schedules, and communication touchpoints</li>
<li>Develop stakeholder engagement calendars and outreach schedules to ensure consistent contact</li>
<li>Identify upcoming engagement opportunities and flag relationships requiring attention</li>
<li>Monitor engagement metrics and recommend strategies to strengthen stakeholder relationships</li>
</ul>
<p><b>Briefing Materials &amp; Talking Points Preparation</b></p>
<ul>
<li>Extract relevant information from repository to prepare customized briefing documents for upcoming meetings</li>
<li>Generate talking points highlighting previous interactions, key issues, opportunities, and action items</li>
<li>Compile background research on stakeholder organizations, priorities, and recent developments</li>
<li>Create quick-reference materials and pre-meeting briefs for leadership with latest context and data</li>
<li>Update materials in real-time as new information becomes available</li>
</ul>
<p><b>Communication &amp; Documentation</b></p>
<ul>
<li>Draft timely communications to stakeholders including emails, updates, and follow-ups</li>
<li>Ensure consistent, regular touchpoints with key customers and partners through communication calendars</li>
<li>Document meeting outcomes, decisions, and action items in the repository immediately after engagements</li>
<li>Support distribution of newsletters or stakeholder updates</li>
<li>Track communication effectiveness and response rates to optimize outreach</li>
</ul>
<p><b>System Maintenance &amp; Analysis</b></p>
<ul>
<li>Perform regular audits of repository content for accuracy, completeness, and currency</li>
<li>Update documentation on data architecture, automated workflows, and standard processes</li>
<li>Train team members on repository usage and automated reporting tools</li>
<li>Analyze engagement patterns to identify trends, gaps, and opportunities</li>
<li>Generate insights and executive summaries to inform strategic decision-making</li>
<li>Other duties as assigned to support data architecture and stakeholder engagement initiatives</li>
</ul>
<p>Top of Form</p>
<p>
Bottom of Form</p><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Required Minimum Qualifications</b></h3>
<p><b>
Student Assistant/Research Assistant</b></p>
<ul>
<li>Pursuing a Bachelor&rsquo;s degree in Computer Science, AI/ML, Data Science or Related Fields</li>
<li>Must be registered for at least 6 credit hours with your university during working semesters</li>
<li>3.0 or higher GPA</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
<ul><li>Technical Skills in Data Management &amp; Automation</li>
<li>Strong Organizational &amp; Information Management Skills</li>
<li>Excellent Communication Skills</li>
<li>Analytical Thinking and Problem Solving</li>
<li>Experience with Team Projects or Customer-Facing Roles</li>
<li>Self Starter</li>
</ul><h3 class="jobSectionHeader"><b>Hours per Week</b></h3>
<p>
10&ndash;20 hours per week</p>
<h3 class="jobSectionHeader"><b>
U.S. Citizenship Requirements</b></h3>
<p>
Due to our research contracts with the US federal government, candidates for this position are required to be US Citizens.</p>
<h3 class="jobSectionHeader"><b>
Clearance Type Required</b></h3>
<p>
Candidates must be able to obtain and maintain an active security clearance.</p>
<h3 class="jobSectionHeader"><b>
Housing and Relocation</b></h3>
<p>
Housing and relocation assistance are not available for this position.</p>
<div>
<h2 class="jobSectionHeader"><b>Equal Employment Opportunity</b></h2>
</div>
<p>The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.</p>
<p>
Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia (&ldquo;USG&rdquo;) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual&rsquo;s race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.</p><p><br>
<b>
USG Core Values Statement</b></p>
<p>
The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct.</p>
<p>
Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.</p></div></div></div></div>

AI/ML Student Assistant - Summer 2026 -EOSD

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

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Job Location : Malvern, PA (Onsite/Hybrid)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><div>We are looking for a highly experienced <b>AWS Data Scientist</b> with deep expertise in <b>Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming</b> to build and deploy scalable, cloud-native analytics solutions on AWS. The role requires hands-on experience across the full data science lifecycle and close collaboration with business and engineering teams.</div>
</div></div><div><div><h2 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h2>
</div><div><ul><li>Minimum <b>8+ years of experience</b> in Data Science, AI, or Machine Learning</li>
<li><b>Strong hands-on expertise in AI &amp; ML</b>, including supervised and unsupervised learning, NLP, or deep learning</li>
<li><b>Advanced Python programming skills</b>, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch</li>
<li>Extensive experience with AWS, especially <b>SageMaker, S3, Redshift, Glue, Athena, Lambda</b></li>
<li>Strong foundation in statistics, predictive modeling, and ML algorithms</li>
<li>Proficiency in SQL and experience with data visualization techniques</li>
<li>Excellent communication and stakeholder management skills</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
</div><div><ul><li>Design, develop, and deploy AI/ML models and data science solutions on AWS</li>
<li>Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR</li>
<li>Perform advanced data analysis, feature engineering, model training, and optimization using Python</li>
<li>Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift</li>
<li>Implement MLOps practices for model deployment, monitoring, retraining, and version control</li>
<li>Translate complex business problems into AI/ML-driven solutions</li>
<li>Ensure adherence to data security, governance, and compliance standards</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
</div><div><ul><li>AWS Certifications (Machine Learning &ndash; Specialty or Solutions Architect)</li>
<li>Experience with big data technologies such as Spark</li>
<li>Exposure to real-time or streaming data pipelines</li>
<li>Background in financial services or regulated industries</li>
</ul></div></div></div><p>The base compensation range for this role in the posted location is: $80786 - 90892</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><br>
<p></p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><br>
<p></p><p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p><br>
<p></p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div><p></p>

AWS Data Scientist

The Home Depot

<div>
 Req178618
 <br/>
 <br/>
 <strong>
  Position Purpose
  <br/>
  <br/>
 </strong>
 The Software Engineer II is responsible for independently developing and assisting in the design of a product that our customers and associates love. As a Software Engineer II, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineer II may be involved in configuration, security, resilience, performance tuning and production monitoring.
 <br/>
 <br/>
 We are dedicated to pushing the boundaries of technology to create solutions that make a difference to the company. Our team is looking for a talented AI/ML developer to join us developing cutting-edge machine learning models and applications for the Company.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   60% Delivery and Execution &ndash; Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions; Documents, reviews and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do destructive testing to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
  </li>
  <li>
   20% Learning &ndash; Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems
  </li>
  <li>
   20% Plans and Aligns &ndash; Collaborates with other team members in agile processes; Assists in creating new and better ways for the team to be successful; Relates openly and comfortably with diverse groups of people; Builds partnerships and works collaboratively with others to meet shared objectives
  </li>
  <li>
   Design and develop machine learning models and algorithms to address business challenges.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Direct Manager/Direct Reports
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This position typically repots to Software Engineer Manager or Sr. Manager
  </li>
  <li>
   This position has 0 Direct Reports
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Travel Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   No travel required.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Physical Requirements
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Working Conditions
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Must be eighteen years of age or older.
  </li>
  <li>
   Must be legally permitted to work in the United States.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1-3 years of relevant work experience
  </li>
  <li>
   Extensive experience in AI, machine learning.
  </li>
  <li>
   Strong understanding of AI use cases and their application in business contexts.
  </li>
  <li>
   Proven track record of developing AI use case from concept to launch.
  </li>
  <li>
   Strong programming skills in Golang, Python.
  </li>
  <li>
   Experience building and maintaining robust data pipelines, ETL/ELT workflows, and data ingestion processes.
  </li>
  <li>
   Solid understanding of machine learning algorithms and principles.
  </li>
  <li>
   Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
  </li>
  <li>
   Experience with data preprocessing, data ingestion and model evaluation.
  </li>
  <li>
   Strong problem-solving skills and ability to work independently and as part of a team.
  </li>
  <li>
   Experience in writing SQL queries against a relational database
  </li>
  <li>
   Experience in version control systems and collaborative development tools.
  </li>
  <li>
   Experience with cloud platforms (Azure, GCP)
  </li>
  <li>
   Experience in source code version control (e.g. Git)
  </li>
  <li>
   Experience in Relational or NoSQL database technology
  </li>
  <li>
   Experience in cloud computing techniques
  </li>
  <li>
   Experience in CI/CD tools
  </li>
  <li>
   Experience in microservice-based architecture
  </li>
  <li>
   Experience with modern debugging and root cause analysis techniques
  </li>
  <li>
   Exposure to security frameworks for user and services authorization and authentication
  </li>
  <li>
   Exposure to creating and executing unit, functional, destructive and performance tests
  </li>
  <li>
   Excellent communication skills to convey technical concepts to non-technical stakeholders.
  </li>
  <li>
   Experience in REST and effective web service design
  </li>
  <li>
   Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Education
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The knowledge, skills and abilities typically acquired through the completion of a bachelor&rsquo;s degree program or equivalent degree in a field of study related to the job.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Years Of Work Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2-3+ years
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Global Perspective
  </li>
  <li>
   Manages Ambiguity
  </li>
  <li>
   Nimble Learning
  </li>
  <li>
   Self-Development
  </li>
  <li>
   Collaborates
  </li>
  <li>
   Cultivates Innovation
  </li>
  <li>
   Situational Adaptability
  </li>
  <li>
   Communicates Effectively
  </li>
  <li>
   Drives Results
  </li>
  <li>
   Interpersonal Savvy
  </li>
 </ul>
</div>


AI/ML Developer II (Remote)

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

Corpay

What We Need
<br>Looking for a summer internship with a highly dynamic, entrepreneurial company? Seeking a rewarding summer experience that will stand out from the crowd?
<br>Corpay is a leading global payments and financial services firm headquartered in Atlanta, GA. We invite you to join our 8-10-week paid summer internship program for rising juniors and seniors.
<br><br>
How We Work
<br>As an intern you will be expected to work in an in-office environment. Corpay will set you up for success by providing:
<br><br>
<ul>
<li>Assigned workspace in office at our Buckhead office location</li>
<li>Company-issued equipment</li>
<li>Formal, hands-on training</li>
</ul>
<b>Key Responsibilities:</b><br>
<ul>
<li>Assisting Scrum Masters with planning and facilitating Scrum ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.</li>
<li>Collaborating with product owners, developers, and stakeholders to ensure alignment on project goals and deliverables.</li>
<li>Monitoring and reporting on team progress, helping to identify and remove impediments.</li>
<li>Contributing to the continuous improvement of Agile practices within the team.</li>
<li>Maintaining and updating project documentation, including sprint backlogs and active sprint boards.</li>
<li>Supporting the team in achieving a high level of performance and quality in delivering projects.</li>
</ul>
Qualifications & Skills
<br><ul>
<li>A keen interest in agile methodologies and scrum practices is essential.</li>
<li>Strong communication and interpersonal skills to effectively interact with team members and facilitate agile practices.</li>
<li>A proactive and enthusiastic approach to learning and contributing to the team’s objectives.</li>
<li>Interests in learning new technologies including and not limited to JIRA, SharePoint, GitLab, Service Now, ROVO and other AI tools</li>
<li>Problem-solving and analytical thinking</li>
<li>Ability to learn quickly and adapt</li>
<li>Good communication and teamwork</li>
<li>Attention to detail</li>
</ul>
<b>What the Internship will Offer:</b><br>
<ul>
<li>Networking Opportunities: Interns gain access to Corpay’s extensive network of professionals. This invaluable network can catapult your career forward by connecting you with industry leaders.</li>
<li>Mentorship: Benefit from personalized mentorship sessions with our partners and advisors. These sessions are geared towards career development, offering insights into navigating your professional path and enhancing your skill set.</li>
<li>Skill Development: Engage in a structured training program designed to build key professional skills vital for your growth. These skills include:</li>
<li>Agile methodologies and ceremonies</li>
<li>Client relationship management</li>
<li>Understanding team dynamics</li>
<li>Leadership principles</li>
<li>Professional communication</li>
<li>Project planning and execution</li>
<li>Strategic roadmapping</li>
</ul>


Scrum Master Intern

Deloitte

<div>Our Deloitte AI &amp; Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.<br>
<br>
<b>Work you'll do
</b><br>
<br>
As a Senior OpenAI FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:<br>
<br>
Client Engagement
<br>
<ul><li>Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
</li><li>Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
</li><li>Lead working sessions to shape solutions and drive client outcomes.
</li><li>Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
</li><li>Contribute independently within an FDE pod while mentoring newer team members.
</li><li>Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
</li><li>Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
</li>Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.<br>
<li>
</li></ul><br>
<br>
Solution Engineering
<br>
<ul><li>Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
</li><li>Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
</li><li>Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
</li><li>Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
</li><li>Design extensible functionality, support sprint sizing, and align solutions with senior team members.
</li>Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.<br>
<li>
</li></ul><br>
<br>
<b>The Team
</b><br>
<br>
Deloitte's Government &amp; Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.<br>
<br>
Our AI &amp; Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.<br>
<br>
<b>Qualifications
</b><br>
<br>
Required:
<br>
<ul><li>Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
</li><li>7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
</li><li>1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
</li><li>1+ years of experience with OpenAI including hands on experience with one of the following key platform technologies; GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
</li><li>1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
</li><li>1+ years of experience building reliable, maintainable, and well-documented code
</li><li>Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
</li>Ability to obtain and maintain a US government security clearance<br>
<li>
</li></ul><br>
<br>
Preferred:
<br>
<ul><li>Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
</li><li>Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
</li><li>Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
</li><li>Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
</li><li>Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
</li><li>Experience operating within hybrid onshore/offshore teams
</li><li>Familiarity with security, privacy, and compliance considerations</li></ul></div>

Senior OpenAI Forward Deployed Engineer - GPS

Explore 178+ Ai ml student assistant summer 2026 eosd in Atlanta this May. Find roles across top companies and apply now to boost your career.