Senior Software Engineer- Machine Learning/AI (Remote)

Home Depot-posted 2 months ago
Full-time • Mid Level
Remote • Atlanta, GA
5,001-10,000 employees
Building Material and Garden Equipment and Supplies Dealers
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The Sr. Software Engineer is responsible for independently developing and consistently redesigning/refactoring a product to adapt to our customers and associates needs. As a Sr. 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 embedded with AI/ML. In addition, Sr. Software Engineers may be involved in product and tool selection, configuration, security, resilience, performance tuning and production monitoring as well as mentoring less experienced engineers.

  • Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide.
  • Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm.
  • Consistently achieves results, even under tough circumstances.
  • Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production.
  • Takes a broad view when approaching issues; using a global lens.
  • Learns through successful and failed experiment when tackling new problems.
  • Actively seeks ways to grow and be challenged using both formal and informal development channels.
  • Collaborates with other team members in agile processes.
  • Creates new and better ways for the organization to be successful.
  • Works with the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable.
  • Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences.
  • Adapts approach and demeanor in real time to match the shifting demands of different situations.
  • Relates openly and comfortably with diverse groups of people.
  • Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions.
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.
  • 3 years of relevant work experience.
  • 2-4 years of relevant work experience.
  • Experience with front end technology such as HTML, CSS, and Javascript/Typescript frameworks.
  • Experience with an object-oriented programming language (preferably Java).
  • Experience with Relational or noSQL database technology.
  • Experience with cloud computing techniques, CI/CD tools, modern software design patterns.
  • Experience and exposure to Salesforce.
  • Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML.
  • Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store.
  • Experience in a modern scripting language.
  • Experience with 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.
  • Experience with security frameworks for user and services authorization and authentication.
  • Experience with creating and executing unit, functional, destructive and performance tests.
  • Experience with modern debugging and root cause analysis techniques.
  • Experience with version control system.
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