Senior Machine Learning Engineer- Generative AI (REMOTE)
Atlanta, Georgia, United States · Remote OK
Mid level
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Skills: Python, Generative AI, Large Language Models, Prompt Engineering, Retrieval-Augmented Generation
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PulteGroup Georgia Division
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Senior AI Platform Engineer (Data and Analytics Cloud Engineer)
Atlanta, Georgia, United States · On-site
$130k–$170k/yr
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The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which w…
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Senior Machine Learning Engineer- Generative AI (REMOTE)
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Full-time
high school
Posted 10d ago
~40 hrs/week
Remote in United States
Responsibilities
The Senior Machine Learning Engineer designs, builds, and maintains AI-powered applications using generative models and large language models. They collaborate with cross-functional teams to deliver scalable AI services while ensuring production performance, monitoring, and reliability.
Requirements
Candidates should have 3-5 years of relevant experience in Python and modern AI development frameworks. Proficiency in building Generative AI applications, RAG pipelines, and cloud-based AI services is required.
Full job description
With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Sr Machine Learning Engineer is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models and the 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.
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.
Key Responsibilities:
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 "destructive testing" 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
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
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
Direct Manager/Direct Reports:
This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager
This Position has 0 Direct Reports
Travel Requirements:
Typically requires overnight travel 5% to 20% of the time.
Physical Requirements:
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.
Working Conditions:
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications:
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Preferred Qualifications:
3 - 5 years of relevant work experience
Experience in Python and modern AI development frameworks
Experience building Generative AI applications using large language models (LLMs)
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic
Experience with GenAI frameworks such as Google Agent Development Kit (ADK)
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases
Experience working with vector databases such as google Vertex AI Search
Experience with building conversational AI systems, or AI assistants
Experience with responsible AI practices including bias mitigation and safety guardrails
Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems.
Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management.
Experience with monitoring, evaluation, and optimization of production AI systems
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)
Experience with GPU acceleration (i.e. CUDA and cuDNN)
Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3
Experience in writing SQL queries against a relational database
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide
Familiarity with defensive coding practices and patterns for high Availability
Familiarity with A/B testing and effective REST design for scalable web services architecture
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization
Minimum Education:
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.
The Home Depot, the world’s largest home improvement specialty retailer, values and rewards dedicated, knowledgeable, and experienced professionals.
We operate more than 2,300 retail stores in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, Guam, Canada, and Mexico. All of our associates have one thing in mind — helping our customers build and improve their homes.
Join The Home Depot team today and see for yourself why we are consistently ranked as a top Fortune 500 company.
Offices: 2455 Paces Ferry Road, Atlanta, Georgia 30339, US · 1300 Park Center Drive, Austin, TX 78753, US · 2455 Paces Ferry Rd SE, Atlanta, GA 30339, US
Based on 1163 listings with disclosed salaries, most software jobs in Atlanta, GA pay between $78k–$204k per year. Individual offers vary with seniority, company size, and specialization.
How many Software jobs are open in Atlanta, GA right now?
There are currently 2,446 open software positions in Atlanta, GA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Atlanta, GA?
Companies currently hiring include Truist, Capgemini, ICE, The Home Depot, Cox Business, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in Atlanta, GA?
Yes — 1437 of the 2446 open software positions offer remote or hybrid work (420 remote, 1017 hybrid).
How do I apply for Software jobs in Atlanta, GA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.