45 applicants

Company

Original Job Post

The Home Depot · 3 days ago

Senior Machine Learning Engineer

STORE SUPPORT CENTER, ATLANTA - 9090

Full-time

Remote

Senior Level

2+ years exp

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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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AlgorithmsStatisticsData AnalysisMachine LearningJupyter NotebooksPandasSciPyScikit-learnGensimTensorflowPytorchGoogle Cloud PlatformVertex AIBigQueryMLData EngineeringBig Data PlatformsPythonGPU AccelerationCUDACuDNNNode.jsHTMLCSSJavaScriptReactJSD3SQLRelational DatabaseGitLinux

Required

Must be eighteen years of age or older.

Must be legally permitted to work in the United States.

Preferred

2 - 4 years of relevant work experience

Experience to algorithms such as clustering, forecasting, anomaly detection, and neural networks.

Experience to basic statistics and regression algorithms

Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc

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 modern web application framework such as Node.js

Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3

Experience in writing SQL queries against a relational database

Experience in version control systems (preferable Git)

Experience in a Linux or Unix based environment

Experience in a CI/CD toolchain

Experience in REST and effective web service design

Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security

Familiarity with NoSQL databases

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