[Remote] Machine Learning Engineer II (Remote)

Note: The job is a remote job and is open to candidates in USA. The Home Depot is a leading home improvement retailer, and they are seeking a Machine Learning Engineer II to join their product team. This role involves contributing to software and algorithm design, collaborating with various stakeholders, and ensuring the successful execution of machine learning solutions.

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; Program configuration/modification and setup activities on large projects using HD approved methodology; 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

Skills

• Must be eighteen years of age or older
• Must be legally permitted to work in the United States
• The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED
• 1 year of work experience
• 1 - 3 years of relevant work experience
• Experience in a modern scripting language (preferably Python)
• Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc
• 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)
• Familiarity with algorithms such as clustering, forecasting, anomaly detection, and neural networks
• Familiarity with basic statistics and regression algorithms
• Familiarity with advanced statistics such as bayesian statistics
• Familiarity with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc
• Familiarity with Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
• Familiarity with a Linux or Unix based environment
• Familiarity with a CI/CD toolchain
• Familiarity with REST and effective web service design
• Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security

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