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ai ml engineer atlanta remote friendly

Greenlight Financial Technology

<div><div><div>Greenlight is the leading family fintech company on a mission to help parents raise financially smart kids. We proudly serve more than 6 million parents and kids with our award-winning banking app for families. With Greenlight, parents can automate allowance, manage chores, set flexible spend controls, and invest for their family&rsquo;s future. Kids and teens learn to earn, save, spend wisely, and invest.</div>
<div></div>
<div>At Greenlight, we believe every child should have the opportunity to become financially healthy and happy. It&rsquo;s no small task, and that&rsquo;s why we leap out of bed every morning to come to work. Because creating a better, brighter future for the next generation depends on it.</div><div></div><div><p><br>
We are looking for an<b> AI/ML Engineer</b> to join our AI team. The AI/ML Engineer designs, builds, and ships production Generative AI applications, AI agents, and ML systems for customer-facing and internal products. The role pairs deep expertise in large language models and agentic architectures with senior-level software engineering to deliver scalable, secure AI solutions. This engineer leads technical design of complex AI systems, drives cross-functional collaboration with product, platform, and security teams, and shapes the strategic direction of AI/ML capabilities across the organization.</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>
Your day-to-day:</b></h3><div><div><div>
<ul><li>Design, build, and deploy production AI agents and multi-agent orchestration systems with prompt engineering, LLM chaining, and tool-calling patterns for complex, multi-step workflows.</li>
<li>Architect RAG pipelines with vector search, hybrid retrieval, and knowledge base management for AI-driven question-answering and decision-support.</li>
<li>Integrate third-party AI platforms and LLM providers, designing authentication flows, tool schemas, and agent-to-backend communication.</li>
<li>Design AI agent security architectures including token exchange, delegated access, and user verification flows for systems acting on behalf of users.</li>
<li>Build production microservices and APIs (FastAPI, Flask, Node.js) serving as orchestration layers and tool endpoints for AI agent systems.</li>
<li>Architect authentication and authorization for AI services: identity provider integration, token validation, and service-to-service auth.</li>
<li>Deploy, monitor, and maintain ML models and AI agent endpoints on cloud platforms (Databricks, AWS SageMaker) including scaling and health management.</li>
<li>Build data ETL pipelines for feature engineering, transaction processing, and knowledge base ingestion.</li>
<li>Develop evaluation and monitoring frameworks for non-deterministic AI systems: agent correctness testing, retrieval quality, and alerting.</li>
<li>Author technical design docs, architecture diagrams, and API contracts; mentor junior and mid-level engineers on AI development practices.</li>
<li>Lead architecture reviews and produce design documents with implementation roadmaps; evaluate emerging AI technologies to inform team strategy.</li>
<li>Collaborate cross-functionally with product, platform, security, and operations to define requirements, prioritize features, and ship AI integrations end-to-end.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What you&rsquo;ll bring to the team:</b></h3><div><div><div>
<ul><li>Extensive experience building and deploying AI agents and Generative AI applications in production.</li>
<li>Deep knowledge of LLMs, agentic architectures, multi-agent systems, RAG, vector search, tool use/function calling, prompt engineering, and fine-tuning.</li>
<li>Hands-on experience with AI/ML frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent.</li>
<li>Strong software engineering skills building production microservices and APIs in Python or JavaScript/TypeScript.</li>
<li>Experience designing auth systems for AI applications: OAuth, token-based access control, and delegated authorization.</li>
<li>Proficiency with a major cloud ML platform (Databricks, AWS SageMaker, or Google Vertex AI) for deployment and serving.</li>
<li>Ability to produce clear technical design documentation and architecture specs for complex systems.</li>
<li>Strong cross-functional communication and collaboration across product, engineering, security, and operations.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Preferred experience:</b></h3><div><div><div>
<ul><li>Experience with CI/CD pipelines and infrastructure tooling (GitHub Actions, Jenkins, Kubernetes, Terraform).</li>
<li>Experience with a JVM language (Java, Kotlin, or Scala) for backend service development.</li>
<li>Background in data pipeline and streaming tools (Airflow, Spark).</li>
</ul>
<div><p>Not sure this one&rsquo;s for you? Don&rsquo;t count yourself out. Show us what you&rsquo;ve got and we&rsquo;ll reach out if there&rsquo;s a great fit.</p>
</div>
</div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Work perks at Greenlight:</b></h3><div><div><div>
<div><div><ul><li>Medical, dental, vision, and HSA match</li>
<li>Paid life insurance, AD&amp;D, and disability benefits</li>
<li>Traditional 401k with company match</li>
<li>Unlimited PTO</li>
<li>Paid company holidays and pop-up bonus holidays</li>
<li>Professional development stipends</li>
<li>Mental health resources</li>
<li>1:1 financial planners</li>
<li>Fertility healthcare</li>
<li>100% paid parental and caregiving leave, plus cleaning service and meals during your leave</li>
<li>Flexible WFH, both remote and in-office opportunities</li>
<li>Fully stocked kitchen, catered lunches, and occasional in-office happy hours</li>
<li>Employee resource groups</li>
</ul></div></div></div></div></div></div></div><div><div><div><div><div><b>Our stance on salaries:</b></div>
<div>Greenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience and skill set. The total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more. Greenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive.</div>
<div></div>
<div>The estimated base pay range for this position in (NY, CA, WA): $160,000- 190,000</div>
<div>The estimated base pay range for this position in (CO): $160,000- 180,000</div></div><br>
</div>
</div><div></div><br>
<div><b>Who we are:</b></div>
<div>It takes a special team to aim for a never-been-done-before mission like ours. We&rsquo;re looking for people who love working together because they know it makes us stronger, people who look to others and ask, &ldquo;How can I help?&rdquo; and then &ldquo;How can we make this even better?&rdquo; If you&rsquo;re ready to roll up your sleeves and help create a world where every child grows up to be happy and healthy in money and life, apply to join our team.</div>
<div></div>
<div>Greenlight is an equal opportunity employer and will not discriminate against any employee or applicant based on age, race, color, national origin, gender, gender identity or expression, sexual orientation, religion, physical or mental disability, medical condition (including pregnancy, childbirth, or a medical condition related to pregnancy or childbirth), genetic information, marital status, veteran status, or any other characteristic protected by federal, state or local law.</div>
<div></div>
<div>Greenlight is committed to an inclusive work environment and interview experience. If you require reasonable accommodations to participate in our hiring process, please reach out to your recruiter directly or email accomodations@greenlight.me.</div>
</div><div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div>

AI/ML Engineer Atlanta (Remote Friendly)

Capgemini

<div><div><div><p>Atlanta</p><div>
AWS SageMaker Data Scientist</div><p>
</p></div></div><p></p><div><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><div>
Job Location : Charlotte, NC</div></div></div><div></div><div><div><div>
Job Description</div></div><div><p>
We are seeking a highly skilled AWS SageMaker Data Scientist with deep expertise in building, deploying, and optimizing machine learning solutions on AWS. The ideal candidate will have strong experience with modern ML architectures (including transformers), end-to-end pipeline development, and ML Ops best practices across the AWS ecosystem. This role requires a hands-on technologist who can collaborate with cross-functional teams to translate business needs into scalable AI/ML solutions.</p></div></div><div><div><div>
Must Have Skills :</div></div><div><ul><li>
8+ years of hands-on experience in data science, machine learning, or applied AI.</li><li>
Strong expertise in transformer models, ML architectures, and algorithm development.</li><li>
Proven experience with Amazon SageMaker, AWS Bedrock, and MLflow.</li><li>
Advanced programming skills in Python or R.</li><li>
Experience with AWS analytical and data services including Athena, Redshift, EMR, Glue, and Lambda.</li></ul></div></div><div><div><div>
Key Responsibilities :</div></div><div><ul><li>
Design and implement end-to-end machine learning (ML) pipelines using services such as Amazon SageMaker, AWS Glue, AWS Lambda, and Amazon S3.</li><li>
Perform data collection, cleaning, and feature engineering to prepare datasets for modeling.</li><li>
Develop predictive models and statistical analyses using Python, R, or similar tools.</li><li>
Deploy, monitor, and optimize ML models in production environments using AWS ML Ops best practices.</li><li>
Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability.</li><li>
Utilize AWS analytics services (Athena, Redshift, QuickSight, EMR) for advanced reporting and visualization.</li><li>
Work with stakeholders to translate business objectives into data science solutions and actionable insights.</li><li>
Apply AI/ML algorithms for use cases such as forecasting, anomaly detection, NLP, computer vision, and recommendation systems.</li><li>
Maintain compliance with security and governance standards for data management on AWS.</li></ul></div></div></div><p>
The base compensation range for this role in the posted location is: 80000-100000</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><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. 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>
Important Notice: 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><p>
</p><p>Disclaimers</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></p><p><br>
</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><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
433773-en_US</div></div><div><div>
Posted on</div><div>
02 Apr 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Atlanta</div></div><div><div>
Business unit</div><div>
FS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

AWS SageMaker Data Scientist

Manhattan Associates

<div><div><b>We create possibilities that move life and commerce forward</b></div><div></div><div><div><div>
Welcome to Manhattan. Every day, our supply chain commerce technology connects two billion people to 20 billion consumer choices. In the warehouse, on the road and in the store, we make what was once impossible, possible. If you want to tackle complex problems and redefine markets, you&rsquo;ve come to the right place.</div></div></div><div></div><div><b>
Principal AI Engineer</b> is a senior technical leader responsible for designing, developing, and guiding the implementation of advanced artificial intelligence systems that support business goals. They combine deep expertise in machine learning, data science, and software engineering with strategic leadership to drive AI initiatives across an organization. They will drive the adoption of AI solutions by evangelizing their value, educating stakeholders, and guiding teams to integrate scalable and responsible AI capabilities into products and business processes.</div><div></div><div><b>
MINIMUM REQUIREMENTS</b> &ndash;</div><ul><li>
7+ years of industry experience in software engineering, machine learning, or AI roles, with a focus on developing, deploying, and scaling ML/AI solutions.</li><li>
3+ years of proven experience in designing large-scale AI systems and defining technical roadmaps.</li><li>
Strong experience developing AI-driven workflows using eknowledge platforms, and AI agent frameworks such as <b>Microsoft Copilot</b>, <b>Glean</b>, and <b>Google Agentspace</b></li><li>
Deep knowledge of:<ul><li>
Machine Learning (classification, regression, clustering, recommendation systems)</li><li>
Deep Learning (CNNs, RNNs, Transformers, GANs)</li><li>
Natural Language Processing (BERT, GPT, LLM fine-tuning)</li><li>
Computer Vision (YOLO, ResNet, object tracking, OCR)</li></ul></li><li>
Expertise in:<ul><li>
Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face)</li><li>
Data engineering and pipeline development (Airflow, Spark, ETL systems)</li><li>
MLOps, model lifecycle management, and production-grade deployment</li><li>
Cloud platforms (AWS/GCP/Azure), containerization (Docker), orchestration (Kubernetes)</li></ul></li><li>
Track record of scaling ML models from experimentation to production across teams or business units.</li><li>
Design and implement integrations using Model Context Protocol to connect AI models with external tools, APIs, and data sources.</li><li>
Demonstrated ability to set research and development direction based on business needs.</li><li>
Possesses and applies moderate to complex knowledge of particular product or platform to the completion of assignments</li><li>
3+ years experience interfacing and partnering with vendors</li><li>
3+ years experience assisting in strategy/roadmap and planning</li><li>
Strong communication skills and ability to communicate at all levels of the organization (technical and business)</li><li>
2+ years experience leading/mentoring more junior staff members</li><li>
Highly self-motivated, directed, ability to work independently and be results-driven</li><li>
5+ years experience with SharePoint for document management and sharing</li><li>
5+ years experience with IT ticketing software (Quality Center, ServiceNow, JIRA)</li><li>
3+ years experience in agile/waterfall software delivery methodologies</li><li>
3+ years experience using Jira, Bitbucket and Confluence agile toolsets or similar</li><li>
5+ years experience working with small, geographically distributed teams</li><li>
5+ years experience working both independently and in a team oriented, collaborative environment</li><li>
Ability to be flexible while delivering assignments with understanding that deliverables may change based on business needs</li></ul><div></div><div><b>
EDUCATION REQUIREMENTS</b> &ndash;</div><ul><li>
Bachelor&rsquo;s degree or foreign equivalent in computer science, engineering or related field or equivalent work experience</li></ul><div></div><div><b>
Principal Duties and Responsibilities </b>&ndash;</div><ul><li><b>
AI Architecture &amp; Strategy:</b> Design scalable AI/ML architectures and define long-term AI technology strategy aligned with business objectives.</li><li><b>
Model Development:</b> Lead development of machine learning, deep learning, and generative AI models for production environments.</li><li><b>
Technical Leadership:</b> Mentor AI engineers, data scientists, and ML engineers; set engineering standards and best practices.</li><li><b>
Research &amp; Innovation:</b> Evaluate emerging AI technologies and integrate cutting-edge methods into products and platforms.</li><li><b>
Production Deployment:</b> Oversee model deployment, monitoring, optimization, and lifecycle management in cloud or on-prem environments.</li><li><b>
Cross-Functional Collaboration:</b> Work closely with product managers, data engineers, and business stakeholders to translate requirements into AI solutions</li><li><b>
Responsible AI &amp; Governance:</b> Ensure ethical AI practices, model explainability, fairness, privacy, and regulatory compliance.</li><li><b>
Performance Optimization:</b> Improve model accuracy, efficiency, scalability, and reliability for enterprise-scale systems.</li></ul><div></div><div><b>
ADDITIONAL CHARACTERISTICS</b> &ndash;</div><ul><li>
Independently performs assignments to achieve stated objective. Determines and develops approach to solutions</li><li>
Receives technical guidance only on unusual or complex problems or issues</li><li>
May be responsible for entire projects having moderate to complex scope/impact or portions of projects having considerable scope/impact</li><li>
Uses judgment and discretion to determine work priorities, receiving little instruction from others</li></ul><div></div><div>
#LI-JM1</div><div></div><div><b>
Committed to diversity and inclusion</b></div><div></div><div><div>
At Manhattan, it&rsquo;s about more than just the work. From cultural celebrations to interest groups to volunteer opportunities, your true self is always welcome here. Our team members&rsquo; backgrounds, experiences and perspectives add to us as a whole and make us unique.</div><div></div><div>
We are proudly an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a veteran. In the United States, Manhattan Associates participates in the Employment Eligibility Verification Program (E-Verify) operated by the Department of Homeland Security in partnership with the Social Security Administration. Participation in the E-Verify Program allows Manhattan to confirm the employment eligibility of all newly hired employees after the Employment Eligibility Verification Form (Form I-9) has been completed.</div></div></div>

Principal AI Engineer

The Home Depot

<div><div><p><b>Position Purpose:</b></p><p><b>
The Sr. Systems Engineer within the CoreAI team is responsible for independently developing, maintaining, and supporting The Home Depot's generative AI and agentic infrastructure that drives the success of Home Depot and our customers. Leading from a THD mindset, you will apply a first principles approach to solve complex engineering problems, breaking down ambiguous challenges to architect robust, scalable systems from the ground up. You will act as a consultative technical bridge between cutting-edge AI frameworks and practical enterprise business applications.</b></p><p></p><p><b>
As a Sr. Systems 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-grade AI infrastructure. You will independently lead technical discovery sessions, architect custom ADK agents based on core engineering fundamentals, and establish governance for organizational-wide usage. In addition, Sr. Systems Engineers may be involved in routine model upgrades and application support, as well as rigorous root cause and post-mortem analyses around AI security incidents, system hallucinations, distributed system bottlenecks, and service interruptions.</b></p><p><b>
Key Responsibilities:</b></p><ul><li>
30% Delivery &amp; Execution - Keeps abreast of innovations and industry trends as well as changes to internal systems and determines how they impacts tools, training, and support necessary to keep systems up, running, and secure; Participates in and contributes to learning activities around modern systems engineering core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
15% Learning - Keeps abreast of innovations and industry trends as well as changes to internal systems and determines how they impacts tools, training, and support necessary to keep systems up, running, and secure; Participates in and contributes to learning activities around modern systems engineering core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Planning &amp; Analysis - Researches and analyzes business trends and behavioral data to identify opportunities for improvements and new initiatives; Drives the evaluation, development, and recommendation of specific technology to provide cost-effective solutions that meet THD requirements; Researches and designs best fit infrastructure, network, database, cloud, AI, and security architectures for products; Proactively creates and maintains tools for monitoring and support; Participates in project planning and reporting across multiple efforts</li><li>
35% Support &amp; Enablement - Collaborates with product and project teams to understand needs and enable them with infrastructure; Supports technology architecture design review efforts for project and product teams; Leverages tooling and custom applications to monitor the operational status of applications, infrastructure, networks, databases, and security; optimizes and tunes performance as appropriate; Drives root cause analysis, debugging, support, and post-mortem analysis for security incidents and service interruptions; Maintains, upgrades, and supports existing systems and infrastructure to ensure operational stability; Opens and manages vendor problem tickets to resolution; Drives the production of in-house documentation around solutions; Provides application support for software running in production; Drives moving KB articles to infrastructure as code models; Drives keeping monitoring/alerting up to date</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically reports to Systems Engineer Manager or Sr Manager</li><li>
This position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
No travel required.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li><b>
Professional or educational experience as an Information Technology, Platform, or AI/MLOps Engineer, with a strong emphasis on applying first principles thinking to system design and troubleshooting.</b></li><li><b>
Experience working as part of a collaborative, cross-functional, modern engineering team, including a proven ability to lead technical discovery sessions and present tailored architectural solutions to both technical (MLEs, developers) and non-technical business stakeholders.</b></li><li><b>
Experience with scripting and programming, with mandatory strong proficiency in Python, Model Context Protocol (MCP), and building robust ADK agents. Familiarity with orchestration frameworks like LangChain or LlamaIndex is a plus.</b></li><li><b>
Experience with cloud platforms, primarily GCP, with hands-on core engineering expertise in Vertex AI Agent Engine, Vertex AI Vector Search, and BigQuery.</b></li><li><b>
Experience monitoring the operational status and performance of, and configuring as well as tuning, systems, networks, vector databases, and LLM telemetry (latency, token usage, cost).</b></li><li><b>
Familiarity with system and environment analysis, design, and optimization for enterprise-wide generative AI platforms, focusing on foundational engineering requirements like high availability, fault tolerance, and establishing AI governance and compliance guardrails.</b></li><li><b>
Experience in troubleshooting and remediation within multiple Information technology disciplines, applying deep root-cause analysis to resolve complex agentic workflow and distributed system failures.</b></li><li><b>
Experience installing and upgrading applications or databases and performing system maintenance for high-throughput ML/AI workloads.</b></li><li><b>
Familiarity with debuggers, runtime analysis, library systems, compiled programming, and software update tools.</b></li><li><b>
Experience supporting a 24x7 retail operation, understanding the immense scale, security, and reliability required for THD enterprise systems.</b></li><li><b>
Experience with version control systems and CI/CD toolchains tailored for the deployment of ML models, AI agents, and microservices.</b></li><li><b>
Experience with production system designs including Infrastructure as Code (e.g., Terraform), containerization (e.g., GKE), High Availability, and Performance monitoring.</b></li><li><b>
Exposure to Site Reliability Engineering (SRE), including enforcing least-privilege IAM policies and securely managing auth tokens for AI service accounts.</b></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>
4</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>
Action Oriented</li><li>
Being Resilient</li><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Optimizes Work Processes</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul><p><i>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit </i><i>https://careers.homedepot.com/our-benefits</i><i>.</i></p></div><p></p><p><br>
Apply End Date: 05/25/2026</p></div>

Senior Systems Engineer, CoreAI - Agentic Solutions (Remote)

<div><div><p><b>Position Purpose:</b></p><p>
The Staff Machine Learning Engineer is responsible for joining cross-functional teams (product, design, Engineering, infrastructure) to build innovative GenAI application experiences and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. Staff ML Engineers are expected to pair daily as they work through user stories and support products as they evolve.<br>
Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
45% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions, Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; 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>
15% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations; Attends conferences and learns how to apply new innovations and technologies where appropriate</li><li>
20% Strategy and Planning - Researches and analyzes business trends and behavioral data to identify opportunities for improvement and new initiatives; Leads the evaluation development and recommendation of specific technology products and platforms to provide cost-effective solutions that meet business and technology requirements; Researches and designs best fit infrastructure, network, database, security, and machine learning architectures for products; Proactively creates and maintains tools for monitoring and support; Participates in project planning and management across multiple efforts; Develops formal training courses</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</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>
5 - 7 years of relevant work experience</li><li>
Experience in Python and modern AI development frameworks</li><li>
Experience building Generative AI applications using large language models (LLMs)</li><li>
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques</li><li>
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic</li><li>
Experience with GenAI frameworks such as Google Agent Development Kit (ADK)</li><li>
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases</li><li>
Experience working with vector databases such as google Vertex AI Search</li><li>
Experience with building conversational AI systems, or AI assistants</li><li>
Experience with responsible AI practices including bias mitigation and safety guardrails</li><li>
Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems.</li><li>
Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management.</li><li>
Experience with monitoring, evaluation, and optimization of production AI systems</li><li>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python)</li><li>
Experience with GPU acceleration (i.e. CUDA and cuDNN)</li><li>
Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li><li>
Experience in training machine learning models with extremely large datasets</li><li>
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.</li><li>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li><li>
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide</li><li>
Familiarity with defensive coding practices and patterns for high Availability</li><li>
Familiarity with A/B testing and effective REST design for scalable web services architecture</li><li>
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li><li>
Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</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><p><i>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit </i><i>https://careers.homedepot.com/our-benefits</i><i>.</i></p></div><p></p><p><br>
Apply End Date: 05/11/2026</p></div>

Staff Machine Learning Engineer – Generative AI (Remote)

<div><div><p><b>Position Purpose:</b></p><p>
The Sr Machine Learning Engineer is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models and overall product lifecycle for a product that our users love. Generative AI Engineers are expected to collaborate closely with teammates as they develop and deliver user stories while supporting AI-powered products as they evolve. Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions.<br>
<br>
Sr Generative AI Engineers should be able to work independently with minimal guidance, while collaborating with cross-functional teams of varying skill levels to design, deploy, and maintain production AI applications. This role may review submitted code and prompt implementations, providing feedback and improvements based on engineering and responsible AI best practices.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning 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 &quot;destructive testing&quot; to ensure adequate resiliency in production; 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>
10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</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<br>
Experience in Python and modern AI development frameworks<br>
Experience building Generative AI applications using large language models (LLMs)<br>
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques<br>
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic<br>
Experience with GenAI frameworks such as Google Agent Development Kit (ADK)<br>
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases<br>
Experience working with vector databases such as google Vertex AI Search<br>
Experience with building conversational AI systems, or AI assistants<br>
Experience with responsible AI practices including bias mitigation and safety guardrails<br>
Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems.<br>
Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management.<br>
Experience with monitoring, evaluation, and optimization of production AI systems<br>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python)<br>
Experience with GPU acceleration (i.e. CUDA and cuDNN)<br>
Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3<br>
Experience in writing SQL queries against a relational database<br>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security<br>
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide<br>
Familiarity with defensive coding practices and patterns for high Availability<br>
Familiarity with A/B testing and effective REST design for scalable web services architecture<br>
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization.</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</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>
2</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><p><i>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit </i><i>https://careers.homedepot.com/our-benefits</i><i>.</i></p></div><p></p><p><br>
Apply End Date: 05/11/2026</p></div>

Senior Machine Learning Engineer – Generative AI (Remote)

Acadia.io

<div><p>Location: Atlanta, GA (Hybrid)</p><p>
</p><p></p><p>Team: Social Media</p><p>
</p><p></p><p>Reports to: Head of Social Strategy</p><p>
</p><p></p><p>Are you the person your friends turn to for the latest meme, trend, or viral video? Do you live to tell stories and connect with audiences through compelling social media content? Acadia is looking for a Senior Content Creator to join our award-winning agency, and we want you to help us create campaigns that break through the noise.</p><p>
</p><p></p><p><b>WHO YOU ARE</b></p><p>
</p><p></p><p>You are a creative force, fluent in the language of social media storytelling. You move seamlessly from big-picture ideation to hands-on execution, crafting everything from viral-style Reels to sharp, engaging copy. You aren&rsquo;t just a creator; you are a future leader, eager to mentor junior talent and confidently present creative concepts to clients. You thrive on feedback, are driven by results, and have a keen eye for the trends that will give our clients a competitive edge.</p><p>
</p><p></p><p><b>WHAT YOU&rsquo;LL DO</b></p><ul><li><p>
</p><p></p><p><b>Conceptualize &amp; Create: </b>Translate overarching brand strategies into powerful, monthly content concepts for your clients. You will own the creative process from briefing to content execution.</p></li><li><p>
</p><p></p><p><b>Hands-On Content Development: </b>Personally design and produce a high volume of social-first content, including but not limited to, editing engaging TikToks/Reels, designing compelling graphics in Canva, and writing sharp, platform-native copy.</p></li><li><p>
</p><p></p><p><b>Client Leadership: </b>Act as the primary creative point of contact for your clients. You will build strong relationships, present monthly content calendars, and expertly incorporate feedback.</p></li><li><p>
</p><p></p><p><b>Mentor &amp; Delegate:</b> Guide and mentor junior content creators, sharing your skills and helping to elevate the entire team. You'll skillfully delegate specialized tasks (like animation or studio shoots) to our wider creative teams by writing clear and effective internal briefs.</p></li><li><p>
</p><p></p><p><b>Strategy &amp; Innovation: </b>Partner with account and strategy teams to deepen our content approach. You&rsquo;ll stay on the pulse of new platforms, AI tools, and cultural trends, bringing fresh ideas to the team and ensuring our work is always innovating.</p></li><li><p>
</p><p></p><p><b>Drive for Results:</b> Keep a close eye on content performance, using data and insights to optimize your creative approach and contribute to client growth, retention, and the creation of award-winning case studies.</p></li></ul><p>
</p><p><b>WHAT YOU&rsquo;LL BRING</b></p><ul><li><p>
4-6 years of content creation experience, preferably with a background in a fast-paced agency environment.
</p></li><li><p>Mastery of short-form video, with advanced skills in CapCut (or similar mobile editing apps) and a portfolio of iPhone-first TikToks/Reels that demonstrate your creativity.</p></li><li><p>
Strong design sensibility with proficiency in Canva. You know how to create visually appealing content and when to collaborate with a graphic designer for more complex needs.</p></li><li><p>
Exceptional social copywriting skills, with a knack for writing social-forward hooks and captions that stop the scroll.</p></li><li><p>
Proven experience in leading client communication and presenting creative work with confidence and clarity.</p></li><li><p>
A passion for mentorship and a genuine interest in helping others grow their skills.</p></li><li><p>
A deep curiosity for AI and an excitement to explore how new tools can enhance creative ideation and execution.</p></li><li><p>
Willingness to travel. While our ideal candidate is in Atlanta for our hybrid role and studio access, we are open to exceptional remote candidates within the U.S. willing to travel for key meetings and shoots (approximately 1-2 times per month).</p></li></ul><p>
What We Offer - The Perks</p><ul><li><p>
A work environment that enthusiastically encourages creativity, risk-taking, and growth.</p></li><li><p>
Paid Holidays</p></li><li><p>
Paid vacation and sick time</p></li><li><p>
We are closed Christmas Eve through New Year's Day</p></li><li><p>
Solid Health Benefits (medical, dental, and vision insurance)</p></li><li><p>
401k Match</p></li><li><p>
Opportunity for growth that is second to none in the industry</p></li><li><p>
Flexible working hours</p></li><li><p>
Paid time off</p></li><li><p>
Floating holiday</p></li><li><p>
Education stipend</p></li><li><p>
And more&hellip;</p></li></ul></div>

Senior Content Creator

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