Senior Machine Learning Engineer – Generative AI (Remote)
Posted 1 months agoGhost Score: Moderate Ghost Risk
FULL TIME
senior
Salary
No salary data
vs. Engineering avg
Ghost Score
Better than ~65% of category
Engineering jobs
Freshness
Posted 1 months ago
Required Skills
Job Description
The Home Depot is a leading home improvement retailer, and they are seeking a Senior Machine Learning Engineer to design, build, and maintain AI-powered applications utilizing generative models. The role involves collaborating with cross-functional teams to develop scalable AI solutions while ensuring business requirements are met and optimizing production AI systems.
Responsibilities:
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; 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; 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
Qualifications:
Must be eighteen years of age or older; Must be legally permitted to work in the United States; 2 years of relevant work experience
Required Skills:
Python, Generative AI, Large Language Models, Prompt Engineering, API Integration, Retrieval-Augmented Generation, Vector Databases, CI/CD Pipelines, Google Cloud Platform, SQL, GPU Acceleration, NLP, Collaboration, Communication, Adaptability
Ghost Score Breakdown
No salary info
+ ptsNo company logo
+ ptsKnown scam/ghost company
Reposted listing
Expired deadline
High job-to-employee ratio
Recruiting agency
Aggregator or proxy posting
Overall: 25/100Moderate Ghost Risk
Application Tips
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