Senior Machine Learning Engineer

Yesterday

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Logo of The Home Depot

The Home Depot

retail β€’ home improvement β€’ customer service

10,000+

πŸ’° Debt Financing on 2007-07

Description

β€’ Responsible for supporting software design and overall product lifecycle. β€’ Involved in designing and implementing AI/ML algorithms for software products. β€’ Collaborates with product team to create reliable machine learning solutions. β€’ Fields questions from other teams and provides application support for production software.

Requirements

β€’ Must be eighteen years of age or older. β€’ Must be legally permitted to work in the United States. β€’ 2 - 4 years of relevant work experience. β€’ Expertise in ML development and ML ops lifecycle. β€’ Experience working with multiple leading ML models. β€’ Experience tracking key metrics for ML performance. β€’ Familiarity leveraging GenAI models. β€’ Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc. β€’ Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML. β€’ Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store. β€’ Experience in a modern scripting language (preferably Python). β€’ Experience with GPU acceleration (i.e. CUDA and cuDNN). β€’ Experience in modern web application framework such as Node.js. β€’ Experience in writing SQL queries against a relational database. β€’ Experience in version control systems (preferable Git). β€’ Experience in a CI/CD toolchain. β€’ Experience in REST and effective web service design. β€’ Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security. β€’ Familiarity with NoSQL databases. β€’ Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide. β€’ Familiarity with defensive coding practices and patterns for high Availability. β€’ Familiarity with A/B testing and effective REST design for scalable web services architecture.

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