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accounts payable specialist

administrative assistant

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
The Staff Software Engineer is responsible for leading a team of engineers building and designing a product that our customers and associates love. As a Staff Software Engineer, 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, Staff Software Engineers will assist in product and tool selection, configuration, security, resilience, performance tuning and production monitoring.<br>
Staff Software Engineers contribute to foundational code elements that can be reused as well as architectural diagrams and other product-related documentation.<br>
As a Staff Software Engineer, you will be a core player on the product team and are expected to build and grow the skillsets of the more junior Engineers.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes a broad view when approaching issues; using a global lens; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances</li><li>
10% Learns and Grows - 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 - Creates new and better ways for the organization to be successful; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Works the Product Team to ensure user stories are developer ready, easy to understand and testable; Collaborates with other team members in agile processes; Relates openly and comfortably with diverse groups of people; Adapts approach and demeanor in real time to match the shifting demands of different situations</li><li>
20% Supports and Enables - Fields questions from product and engineering teams; Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions; Notes gaps on the team and provides suggestions for changes to make the team more productive</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically reports to Software Engineer Manager or Sr. Manager</li><li>
This position typically 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><p><b><br>
Preferred Qualifications:</b></p><ul><li>
3-5 years of relevant work experience</li><li>
Extensive experience with front end technology such as HTML, CSS, and Javascript/Typescript frameworks, an object-oriented programming language (preferably Java), Relational or noSQL database technology, cloud computing techniques, CI/CD tools, modern software design patterns</li><li>
Experience in effective data modeling with both Relational and NoSQL databases</li><li>
Experience with security frameworks for user and services authorization and authentication</li><li>
Experience with creating and executing unit, functional, destructive and performance tests</li><li>
Experience with modern debugging and root cause analysis techniques</li><li>
Experience with version control system</li><li>
Experience in designing systems for High Availability, Disaster Recovery, Performance, Efficiency, and Security</li><li>
Exposure to developing technical roadmaps including work estimation, refactoring and modernizing legacy systems.</li><li>
Experience leading cross-functional initiatives and driving adoption of tools, processes, or platforms across multiple teams.</li><li>
Familiarity with AI-driven development, automation, or intelligent systems that improve engineering productivity, testing, and operational efficiency.</li><li>
Demonstrated ability to lead technical efforts, influence engineering teams, and communicate effectively with senior stakeholders and leadership.</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><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>
3</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>
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><p></p>

STAFF SOFTWARE ENGINEER (AI)

Alvarez & Marsal

<div></div><div><div><div><p>Location: Atlanta, GA, United States
<br>
Date Posted: Aug 31, 2026</p></div></div><p></p><div><br>
<p><b>About Alvarez &amp; Marsal</b></p>
<p>Alvarez &amp; Marsal (A&amp;M) is a global consulting firm with entrepreneurial, action and results-oriented professionals. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are why our people love working at A&amp;M.</p>
<p><b>The Team</b></p>
<p>The Global AI &amp; Knowledge Organization (GAIKO) is A&amp;M's central engine for AI strategy, enablement, and knowledge infrastructure. Led by the Chief AI &amp; Knowledge Officer, the team bridges firm strategy and frontline delivery, responsible for how A&amp;M adopts, governs, and scales AI across its practices and geographies.</p>
<p>The team's mandate spans the full lifecycle of AI at A&amp;M: from rolling out enterprise tools like Claude to thousands of practitioners across the US, Australia, and Europe, to building the platforms and governance frameworks that ensure AI work is reusable, compliant, and compounding in value over time.</p>
<p><b>How you will contribute</b></p>
<p>The GAIKO team is building A&amp;M's enterprise AI capability &mdash; governing the tools, connectors, and workflows that consulting teams rely on to deliver client work. The Product Analyst will be the operational backbone of AI tools delivery at A&amp;M, keeping the platform running smoothly, features verified, and users well-supported. Working closely with the Product Manager and business unit leads, this role ensures the day-to-day quality and reliability of AI tools from initial rollout through firm-wide scale.</p>
<p>AI tools only create value if practitioners can access them, trust them, and use them effectively. That means managing rollouts carefully across business units, enabling consulting teams with the context they need to adopt new capabilities, and maintaining rigorous standards for which connectors and integrations are authorized for use. By ensuring that the right tools reach the right teams in a compliant, consistent way, the Product Analyst raises A&amp;M's baseline AI capability across the firm and reduces the risk of ungoverned or inconsistent adoption in the field. This is the person who makes that promise real every day.</p>
<p>This is an excellent opportunity for an analytically strong professional who wants to build expertise at the intersection of AI enablement, knowledge operations, and product support in a leading global consulting firm.</p>
<ul><li>Support the Product Manager in developing and maintaining the AI tools roadmap, tracking feature delivery milestones and translating priorities into actionable plans</li>
<li>Monitor and report on performance metrics across AI tools, surfacing adoption trends, usage patterns, and issues to inform decision-making</li>
<li>Serve as the first line of support for business units on enablement requests, coordinating onboarding, training, and adoption guidance for consulting teams</li>
<li>Lead day-to-day planning and coordination of feature and connector evaluations, security reviews, and deployment sequencing &mdash; ensuring each step meets firm governance and compliance standards before rollout</li>
<li>Coordinate with support, training, and communications teams on technical issue resolution and deployment execution, ensuring consistent messaging and a smooth experience for end users across the firm</li>
<li>Work closely with the Product Manager, AI CoE team, and business unit leads to align delivery priorities with practice-area needs and firm-wide enablement goals</li>
<li>Maintain clear documentation of tool configurations, authorized connectors, evaluation outcomes, and rollout status to support auditability and institutional knowledge</li>
<li>Design, run, and evaluate POCs/pilots for new tools or features against defined success criteria; make go/no-go recommendations to the Product Director</li>
<li>Trial new features hands-on as they release; analyze and summarize capabilities, limitations, and fit for A&amp;M workflows</li>
<li>Build and deliver demos to stakeholders (Product team, business unit leads, practitioners)</li>
<li>Be a hands-on practitioner: personally build prototypes with AI tools (e.g. Cowork, Code) to redesign internal product and team workflows</li>
<li>Surface trends and issues to inform Product Director and Product Manager decision-making</li>
</ul><p><b>Qualifications</b></p>
<p><b>Required</b></p>
<ul><li>2&ndash;4 years of experience in product operations, business analysis, knowledge management, or a related support function</li>
<li>Strong analytical skills: comfortable pulling and summarizing usage data, building simple dashboards, and spotting trends</li>
<li>Hands on experience with AI tools &ndash; Prompts, Skills development, Cowork.</li>
<li>High attention to detail and a process-oriented mindset &mdash; you find satisfaction in well-organized, accurate systems</li>
<li>Clear, professional written communication; able to write user-facing documentation and internal status updates with equal ease</li>
<li>Hands-on experience using platforms such as Claude, Cowork, ChatGPT, or similar tools in a professional context and a passion for the evolving landscape of enterprise AI capabilities</li>
<li>Comfortable working across time zones and with global teams</li>
</ul><p><b>Preferred</b></p>
<ul><li>Experience with content governance, asset libraries, or structured knowledge repositories is a plus</li>
<li>Prior consulting or professional services experience is a plus</li>
</ul><p><b>Your journey at A&amp;M</b></p>
<p>We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person&rsquo;s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.</p>
<p>We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&amp;M. The possibilities are endless for high-performing and passionate professionals.</p>
<p>Regular employees working 30 or more hours per week are also entitled to participate in Alvarez &amp; Marsal Holdings&rsquo; fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&amp;D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez &amp; Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&amp;M&rsquo;s benefits programs.</p>
 <p>The salary range is $80,000 - $95,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&amp;M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.</p>
<p>#LI-LH1
</p></div><div><h2 class="jobSectionHeader"><b>Culture &amp; Values</b></h2>
<p>At Alvarez &amp; Marsal, our core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity guide everything we do, shaping a culture rooted in entrepreneurship, impact, and integrity. We trust our people to take ownership early, contribute to meaningful challenges, and drive results that matter. We empower growth and champion diverse perspectives. Above all, we value doing the right thing. For those ready to roll up their sleeves, lead with integrity, and be difference makers, this is where it starts.</p>
<h2 class="jobSectionHeader"><b>Equal Opportunity Employer</b></h2>
<p>It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&amp;M policy statements and additional information by region here.</p>
<h2 class="jobSectionHeader"><b>Unsolicited Resumes from Third-Party Recruiters</b></h2>
<p>Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.</p></div></div><div></div>

Product Analyst, AI Tools

Georgia Tech

<div><div><div><div><h2 class="jobSectionHeader"><b>About Us</b></h2><br>
<div></div><div><div><p><b>Overview</b></p>
<p>Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our strategic plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.</p>
<p><b>About Georgia Tech</b></p>
<p>Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.</p>
<p><b>Georgia Tech's Mission and Values</b></p>
<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.</p>
<p>2. We strive for excellence.</p>
<p>3. We thrive on diversity.</p>
<p>4. We celebrate collaboration.</p>
<p>5. We champion innovation.</p>
<p>6. We safeguard freedom of inquiry and expression.</p>
<p>7. We nurture the wellbeing of our community.</p>
<p>8. We act ethically.</p>
<p>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>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>Location</b></h2><br>
<div></div><div><div><p>Atlanta, GA</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>Department Information</b></h2><br>
<div></div><div><div><p><b>About Tech AI</b></p>
<p>Tech AI is Georgia Tech's mission-ready AI accelerator and solutions engineering organization, operating under the Office of the Executive Vice President for Research (EVPR). As Georgia Tech's front door for external AI engagement, Tech AI connects the Institute's world-class AI research ecosystem with the needs of industry, government, and society. Through a disciplined Technology Readiness Level (TRL) acceleration model, Tech AI advances innovations from research concepts to validated, pilot-tested, and operationally deployed solutions.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>Job Summary</b></h2><br>
<div></div><div><div><p>Tech AI at the Georgia Institute of Technology is seeking a highly accomplished Research Scientist with a PhD in Artificial Intelligence, Computer Science, or a related field and at least 10 years of applied industry experience. This role is ideal for a collaborative problem solver who enjoys developing cutting-edge AI solutions, working across diverse sectors, and translating innovative research into real-world impact.</p>
<p>As a Research Scientist on the Tech AI team, you will sit at the intersection of applied research and real-world delivery. You will play a major role in the development and application of advanced AI and machine learning methods to address high-impact challenges across sectors such as advanced manufacturing, supply chain and logistics, operations, financial services, healthcare, energy, and national security. Working closely with Research Software Engineers (RSEs), faculty, students, industry partners, and government stakeholders, you will help transform promising research into robust, scalable, production-ready systems.</p>
<p>Beyond technical leadership, you will contribute to sponsored research initiatives, competitive grant proposals, business development efforts, and strategic partnerships that expand Georgia Tech's AI impact. You will engage clients and collaborators, communicate complex concepts to both technical and non-technical audiences, and help shape the future pipeline of AI opportunities. This position is ideal for a scientist who is equally energized by advancing state-of-the-art AI research and seeing that work successfully deployed to solve meaningful real-world problems.</p>
<p>Joining Tech AI offers a unique opportunity to help fulfill Georgia Tech's vision of advancing trustworthy, human-centered AI while accelerating the translation of discovery into deployed solutions that create measurable impact for industry, government, and society.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>Responsibilities</b></h2><br>
<div></div><div><div><p>Apply advanced AI/ML methods to real world challenges in multiple industries</p>
<p>Conduct assessments, develop solution concepts, and support implementation planning</p>
<p>Contribute to proposal writing, including technical narratives and research framing</p>
<p>Deliver public presentations and workshops</p>
<p>Translate complex technical ideas into accessible insights for varied audiences</p>
<p>Work with Research Software Engineers to ensure translation of research into production ready solutions</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2><br>
<div></div><div><div><p>This position vacancy is an open rank announcement. Final job offer will be dependent on candidate qualifications in alignment with Research Faculty ranks as outlined in section 3.2.1 of the Georgia Tech Faculty Handbook (https://www.policylibrary.gatech.edu/faculty-handbook/3.2.1-research-faculty-hiring-and-promotion-guidelines)
<br>
<br>
<b>Research Scientist I</b></p>
<p>Bachelor's Degree in Computer Science, Machine Learning, or a related discipline</p><br>
<p><br>
<b>Research Scientist II</b>
</p><p>A Master's degree in Computer Science, Machine Learning, or a related discipline and three (3) years of relevant full-time experience after completion of that degree, or</p>
<p>A Master's degree in Computer Science, Machine Learning, or a related discipline and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or</p>
<p>A Doctoral degree in Computer Science, Machine Learning, or a related discipline</p><br>
<p><br>
<b>Senior Research Scientist</b>
</p><p>A Master's degree in Computer Science, Machine Learning, or a related discipline and seven (7) years of relevant full-time experience after completion of that degree, or</p>
<p>A Master's degree in Computer Science, Machine Learning, or a related discipline and nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or</p>
<p>A Doctoral degree in Computer Science, Machine Learning, or a related discipline, and four (4) years of relevant full-time experience after completion of a Bachelor's degree.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2><br>
<div></div><div><div><p>PhD in AI, Computer Science, Machine Learning, or a related discipline</p>
<p>PhD in AI, Computer Science, Machine Learning, or a related discipline</p>
<p>10+ years of hands on experience applying AI/ML in industry settings</p>
<p>Background in solutions development or consulting services within at least two of the following: manufacturing, supply chain, operations, financial services, healthcare</p>
<p>Demonstrated experience writing successful grant proposals, technical proposals, and business cases to secure funding for complex technology initiatives.</p>
<p>Strong public speaking and communication skills</p>
<p>Proficiency with modern AI/ML frameworks and cloud environments</p>
<p>Experience with generative AI or advanced deep learning architecturesAbility to listen closely to clients and identify the core problems behind their needs</p>
<p>Ability to work effectively with multidisciplinary teams</p>
<p>Evidence of technical leadership through publications, patents, open-source contributions, industry presentations, or other recognized professional accomplishments.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>Proposed Salary</b></h2><br>
<div></div><div><div><p>The offered salary commensurate with education and experience.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>Contact Information</b></h2><br>
<div></div><div><div><p>For inquiries, contact Stephen Rosner at srosner6@gatech.edu</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>USG Core Values</b></h2><br>
<div></div><div><div><p>The University System of Georgia is comprised of our 25 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><div><div><h2 class="jobSectionHeader"><b>Equal Employment Opportunity</b></h2><br>
<div></div><div><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 (&quot;USG&quot;) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual'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>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>Background Check</b></h2><br>
<div></div><div><div><p>A successful candidate must be able to pass a background check. Please visit: https://usg.policystat.com/policy/19298143/latest</p></div></div></div></div></div></div>

Open Rank Research Scientist I/II/ Sr - AI Solutions Architect

Travelers

<div><p><b>Who Are We?</b></p><p>
Taking care of our customers, our communities and each other. That&rsquo;s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.</p><p></p><p><b>
Compensation Overview</b></p><p>
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.</p><p></p><p><b>
Salary Range</b></p>
$126,500.00 - $208,700.00<p></p><p><b>
Target Openings</b></p>
1<p></p><p><b>
What Is the Opportunity?</b></p>
Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate stories found in data by leveraging a variety of data programming techniques. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.<p><b>
What Will You Do?</b></p><ul><li>
Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.</li><li>
Design complex data solutions</li><li>
Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.</li><li>
Incorporate core data management competencies including data governance, data security and data quality.</li><li>
Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment.</li><li>
Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate.</li><li>
Test data movement, transformation code, and data components.</li><li>
Perform other duties as assigned.
</li></ul><p><b>What Will Our Ideal Candidate Have?</b></p><ul><li>
Bachelor&rsquo;s Degree in STEM related field or equivalent.</li><li>
Eight years of related experience.</li><li>
Highly proficient in Cloud platforms (AWS preferred, Azure considered), Databricks (5-6 years), Python, and SQL, with hands-on experience applying fundamental data engineering practices.</li><li>
Deep domain expertise in immediate systems and working knowledge of adjacent ones; adept at identifying industry trends and delivering complete solutions incrementally at a steady, predictable pace.</li><li>
Strong problem solver with a track record of building resilient, innovative systems while effectively navigating tradeoffs and balancing short- and long-term priorities; experience with AI assistants such as Claude and Databricks Genie is a plus.</li><li>
Excellent communicator and collaborative team player with demonstrated ability to partner with stakeholders and customers, foster a safe learning environment for engineers, and proactively identify opportunities while driving team accountability.</li></ul><p></p><p><b>
What is a Must Have?</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, related STEM field, or its equivalent in education and/or work experience.</li><li>
4 additional years of data engineering experience.</li></ul><p></p><p><b>
What Is in It for You?</b></p><ul><li><b>
Health Insurance</b>: Employees and their eligible family members &ndash; including spouses, domestic partners, and children &ndash; are eligible for coverage from the first day of employment.</li><li><b>
Retirement:</b> Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.</li><li><b>
Paid Time Off:</b> Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.</li><li><b>
Wellness Program:</b> The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.</li><li><b>
Volunteer Encouragement:</b> We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.</li></ul><p></p><p><b>
Employment Practices</b></p><p>
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
</p><p></p><p>In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.</p><p></p><p>
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.</p><p></p><p>
Travelers reserves the right to fill this position at a level above or below the level included in this posting.</p><p></p><p>
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.</p></div>

Data Engineer II (Databricks, AWS)

Cognizant

ob Summary
<br>We are seeking an AI First Engineer with deep Oracle SCM expertise and a proven track record of applying AI across the entire Software Development Lifecycle SDLC This role is focused on transforming how Supply Chain applications are designed developed tested deployed and supported through AI enabled engineering practices. The ideal candidate is not simply an Oracle SCM developer who occasionally uses AI tools but an engineer who consistently leverages AI technologies to improve productivity code
<br><br>
Responsibilities
<br>We are seeking an AI First Engineer with deep Oracle SCM expertise and a proven track record of applying AI across the entire Software Development Lifecycle SDLC This role is focused on transforming how Supply Chain applications are designed developed tested deployed and supported through AI enabled engineering practices
<br>The ideal candidate is not simply an Oracle SCM developer who occasionally uses AI tools but an engineer who consistently leverages AI technologies to improve productivity code quality testing efficiency operational support and overall software delivery outcomes
<br>The role will drive AI powered development and modernization initiatives across Oracle SCM Cloud and or Oracle EBS applications
<br>Candidates should be able to demonstrate and quantify measurable business outcomes achieved through AI adoption including reduced development cycle times improved code quality lower testing effort accelerated deployments and faster issue resolution
<br>Key Responsibilities
<br>AI Fueled Software Engineering Across the SDLC
<br>Apply AI enabled engineering practices throughout all phases of the software lifecycle
<br>1AIAssisted Requirements Solution Design
<br>Leverage AI and LLM technologies to analyze business requirements BRDs user stories process flows and SCM functional specifications
<br>Generate technical designs impact assessments traceability matrices solution alternatives and effort estimates using AI assisted workflows
<br>Utilize AI to accelerate fit gap analysis and quarterly Oracle Cloud upgrade impact assessments
<br>Apply AI driven knowledge discovery to reduce analysis and design cycle times
<br>2AIdriven code generation and refactoring
<br>Use GitHub Copilot Oracle Code Assist Agentic AI frameworks and similar tools to accelerate development across PLSQL Java JavaScript Groovy VBCS OIC and APEX
<br>Implement AI assisted code generation code optimization refactoring reverse engineering and legacy modernization initiatives
<br>Develop Oracle SCM customizations integrations extensions reports and automation solutions using AI enabled development practices
<br>Apply AI to automate integration mappings API creation report generation and technical documentation
<br>3AIassisted testing test automation and regression strategies
<br>Build AI powered testing strategies covering functional integration regression performance and user acceptance testing
<br>Utilize AI for automated test case generation test data creation defect identification and test maintenance
<br>Implement AI enhanced regression testing frameworks to support Oracle Cloud quarterly releases
<br>Leverage AI tools for defect triage root cause analysis and predictive quality insights
<br>4AIenabled DevOps code review documentation generation and operational support
<br>Integrate AI assisted code reviews security analysis static code scanning and quality gates into CICD pipelines
<br>Utilize AI to generate deployment documentation release notes implementation guides and operational runbooks
<br>Apply AI powered monitoring and analytics to assess Oracle quarterly release readiness and business impact
<br>Support AI driven deployment automation and environment management practices
<br>5Experience with GitHub Copilot Agentic AI frameworks prompt engineering RAG patterns and AI assisted developer workflows
<br>GitHub Copilot
<br>Oracle Code Assist
<br>ChatGPT
<br>Claude
<br>Agentic AI frameworks
<br>OCI Generative AI
<br>6Oracle SCM Technical Expertise
<br>Strong handson experience with Oracle SCM Cloud and or Oracle EBS applications
<br>Business Impact Measurement
<br>Ability to quantify and communicate outcomes from AI adoption including
<br>Development cycle time reduction
<br>Improved code quality
<br>Reduced defect rates
<br>Reduced testing effort
<br>Faster deployment cycles
<br>Faster incident resolution
<br>Increased developer productivity

AI First Engineer – Oracle SCM Applications Suite

Omnissa

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  We are Omnissa!
 </strong>
 <br/>
 <br/>
 Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions&mdash;including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security &amp; Compliance&mdash;into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement while optimizing IT operations, security, and cost.
 <br/>
 <br/>
 Guided by our Core Values&mdash;
 <strong>
  Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value
 </strong>
 &mdash;we&rsquo;re growing rapidly and committed to delivering meaningful impact. If you're passionate about shaping the future of work, we&rsquo;d love to hear from you.
 <br/>
 <br/>
 At Omnissa, we are committed to maintaining a fair, consistent, and secure hiring process for all candidates. As part of this approach, we use standard interview and verification practices designed to ensure alignment and protect both candidates and the organization. These practices are applied thoughtfully and with respect for candidate privacy.
 <br/>
 <br/>
 <strong>
  What is the opportunity?
  <br/>
  <br/>
 </strong>
 Our platform manages millions of devices across multiple operating systems, requiring exceptional performance, scalability, availability, and resilience. You will join the
 <strong>
  AI Platform Team
 </strong>
 , the group responsible for building foundational AI capabilities across the Omnissa product ecosystem.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Staff Machine Learning Engineer
 </strong>
 , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors. You&rsquo;ll work closely with engineering and product teams to operationalize models across our cloud scale environment while driving best in class ML engineering practices. You will own engineering initiatives end to end and help foster a culture of high ownership, continuous improvement, and engineering excellence. Here is a breakdown:
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and deploy machine learning models for classification, prediction, anomaly detection, and intelligent automation.
  </li>
  <li>
   Build and maintain scalable data pipelines for model training, evaluation, and real time/batch inference.
  </li>
  <li>
   Optimize ML models and pipelines for performance, scalability, reliability, and cost efficiency.
  </li>
  <li>
   Collaborate with cross functional teams to integrate ML solutions into core platform features and services.
  </li>
  <li>
   Conduct model experimentation, evaluation, and iteration using quantitative metrics and A/B testing as needed.
  </li>
  <li>
   Implement model observability, monitoring, and drift detection to ensure production reliability.
  </li>
  <li>
   Stay current with advancements in machine learning, AI, and LLM technologies, and apply them to product use cases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What will you bring to Omnissa?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in machine learning engineering or data science roles.
  </li>
  <li>
   Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikitlearn).
  </li>
  <li>
   Experience building and operating data processing workflows (batch or streaming) and working with cloud platforms (AWS, Azure, or GCP).
  </li>
  <li>
   Solid understanding of machine learning algorithms, statistics, and model evaluation techniques.
  </li>
  <li>
   Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
  </li>
  <li>
   Handson experience with Large Language Models (LLMs), including finetuning, prompt engineering, and deployment.
  </li>
  <li>
   Knowledge of text embedding models, and vector databases for Retrieval Augmented Generation (RAG) systems
  </li>
  <li>
   Strong problem-solving skills and the ability to collaborate effectively in Agile teams.
  </li>
  <li>
   Highly motivated, adaptable, and eager to learn new technologies.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with distributed computing frameworks (e.g., Spark, Ray).
  </li>
  <li>
   Experience with orchestration frameworks (e.g., LangChain/LangGraph) to build AI agents and multi-agent systems.
  </li>
  <li>
   Experience building feature stores or working with vector databases.
  </li>
  <li>
   Knowledge of real-time inference architectures and model monitoring systems.
  </li>
  <li>
   Experience developing scalable ML services via REST/gRPC.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location:
 </strong>
 Mountain View, CA or Atlanta, GA
 <br/>
 <br/>
 <strong>
  Location Type:
 </strong>
 hybrid
 <br/>
 <br/>
 <strong>
  Travel Expectations:
 </strong>
 None
 <br/>
 <br/>
 <strong>
  Education:
 </strong>
 Bachelor's Degree preferred, or equivalent combination of education and relevant professional experience.
 <br/>
 <br/>
 <strong>
  Compensation:
 </strong>
 <em>
  The typical base salary for this role is between USD $162,512 &ndash; $342,750 per year and it may be eligible for participation in a corporate bonus program. Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors. In addition to competitive compensation, Omnissa offers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance, paid-time off, growth opportunities, and more.
  <br/>
  <br/>
 </em>
 <strong>
  Omnissa is an Equal Employment Opportunity company and Prohibits Discrimination and Harassment of Any Kind:
  <br/>
  <br/>
 </strong>
 Omnissa is committed to the principle of equal employment opportunity and to providing a work environment free of discrimination and harassment. All employment decisions at Omnissa are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, ancestry, ethnicity, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past, present, or prospective service in the uniformed services, family medical history or genetic information, family or parental status, veteran status, or any other status protected by applicable laws or regulations in the locations where we operate. Omnissa will not tolerate discrimination or harassment based on any of these characteristics. Omnissa welcomes applicants of all ages. Omnissa will provide reasonable accommodations to applicants and employees who have protected disabilities consistent with applicable federal, state and local law.
</div>


Staff Machine Learning Engineer

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div><b><i>
To qualify for US internships, you must be currently enrolled in a degree-seeking program with an expected graduation date after the internship/co-op ends. If you do not meet this requirement, we invite you to explore other opportunities available on our careers website.</i></b></div><p></p><div><br>
Intuit internships are 12 weeks throughout the summer. We have fixed start and end dates that are designed to work with various universities&rsquo; academic calendars.</div><div></div><ul><li><b><i><br>
Cohort 1: Monday, May 17 - Friday, August 6, 2027 (12 weeks)</i></b></li><li><b><i>
Cohort 2: Monday, June 14 - Friday September 3, 2027 (12 weeks)</i></b></li></ul><p></p><p><b><br>
About our Emerging Talent Program:</b></p><div>
Intuit invests in Emerging Talent because fresh perspectives strengthen our products and teams. The program is backed by a culture that values curiosity and collaboration, and you'll be supported by dedicated managers and mentors who are invested in your growth. As an intern or co-op, you'll work on meaningful projects with business impact, many centered on AI and emerging technologies, and contribute to driving decisions. You'll build skills through function-specific learning opportunities, connect with a global community of interns and co-ops through dedicated programming and social events, and get exposure to senior leadership and cross-functional work across Intuit's product ecosystem. Learn more about our Intern and Co-op Program here.</div><p>
As a Software Engineer Intern, you&rsquo;ll help build solutions that transform how millions of consumers and small businesses manage their finances across cloud, platform, mobile, and SaaS environments. We&rsquo;re cultivating a culture that values innovators, risk-takers, and imaginative thinkers, and we embrace experimentation and rapid prototyping to turn ideas into real impact. Along the way, you&rsquo;ll collaborate with peers and mentors, gain hands-on experience applying best practices in software development, and build the skills to launch a rewarding career in tech.</p><p><b><br>
Responsibilities</b></p><ul><li>
Assist in the design, development, and testing of software applications and systems.</li><li>
Contribute to code reviews and ensure adherence to coding standards.</li><li>
Participate in debugging and resolving software defects.</li><li>
Collaborate with team members to understand project requirements and deliver solutions.</li><li>
Support the deployment and maintenance of software</li></ul><p><b><br>
Qualifications</b></p><ul><li>
Current enrollment in a degree-seeking program (associate&rsquo;s, bachelor's, master's, MBA, PhD, or the equivalent) with an expected graduation date <b>after the internship ends</b></li><li>
Familiarity with AI tools and a curiosity about how AI can be applied to solve real-world problems</li><li>
Must be legally authorized to work in the United States on a full-time basis for the duration of the internship</li><li>
Ability to work in a hybrid environment at an Intuit office location determined by your team and role (Relocation stipend will be provided)</li><li>
Familiarity with both frontend and backend development</li><li>
Ability to work effectively with developers and designers, discussing application and API architectures</li><li>
Ability to work with Scrum teams</li><li>
Familiarity with tools such as Git, Jenkins, or Travis</li><li>
Solid understanding of object-oriented design and fundamental programming concepts.</li><li>
Familiarity with Agile development methodologies and the software development lifecycle</li><li>
A &quot;self-starter&quot; attitude with the ability to take initiative and make independent decisions.</li><li>
Strong problem-solving skills and a history of successfully delivering on assigned tasks.</li><li>
Desire to learn and grow within a technical environment.</li><li>
Excellent verbal and written communication skills.</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.</p>
The expected base pay range for this position is:
<br>
Mountain View $0 - $0
<br>
New York $0- $0<br>
San Diego, CA $0- $0</div>

Summer 2027: Software Engineering Intern - Full Stack

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