The Home Depot is looking to solve business problems by developing and deploying innovative AI/ML solutions that enhance user experiences and drive technological excellence.
Requirements
- Proficiency with algorithms such as clustering, forecasting, anomaly detection, and neural networks
- Experience with advanced ML techniques including NLP, CNNs, autoencoders, and embeddings
- Hands-on experience with large datasets and training scalable ML models
- Familiarity with Data Analysis and ML tools/libraries like Jupyter, Pandas, SciPy, Scikit-learn, Gensim, TensorFlow, PyTorch
- Experience with GPU acceleration technologies such as CUDA and cuDNN
- Knowledge of cloud platforms, particularly Google Cloud Platform, and AI/ML services like Vertex AI, BigQueryML, AutoML
- Proficiency in data engineering practices and big data platforms such as BigQuery and Data Store
Responsibilities
- Contribute to the design, development, and deployment of innovative AI/ML solutions
- Implement sophisticated algorithms, optimizing performance
- Support the entire product lifecycle from conception to monitoring
- Mentor junior engineers and lead multiple ML initiatives
- Collaborate with UX, engineering, and product teams to develop secure, reliable, and scalable machine learning solutions
- Design and optimize ML infrastructure, network, database, security, and architecture to support scalable solutions
- Monitor production SLAs, system performance, capacity, and prediction quality, proactively addressing issues as they arise
Other
- 3 - 6 years of relevant work experience in machine learning and data science
- Minimum education: High school diploma or GED
- Collaborate with cross-functional teams, including UX, engineering, product management, and stakeholders
- Demonstrate a strong technical foundation, strategic thinking, and a passion for leveraging data to solve real-world problems
- Engage in continuous learning through articles, tutorials, conferences, and community practices
