Grainger seeks to develop and deploy cutting-edge AI/ML solutions to enhance inventory management through its KeepStock solutions, leveraging state-of-the-art techniques to meet customer needs.
Requirements
- Minimum of 5 years of experience, ideally with 1-2 years in a leadership role, in the industry delivering ML solutions
- PhD degree in a field such as Applied Mathematics, Physics, Engineering, Computer Science, Electrical Engineering or equivalent experience
- Experience building and leading a high-impact team
- Experience with time-series forecasting, anomaly detection, statistical modeling
- Experience with ML and deep learning frameworks such as scikit, PyTorch, Tensorflow, Huggingface
- Experience deploying scalable AI/ML solutions in a business context
- Experience building, deploying, monitoring, maintaining production ML systems
Responsibilities
- Lead a team of exceptionally talented AI/ML scientists design, build, monitor, and maintain processes to address Grainger’s needs.
- Lead and implement high level of rigor in ML projects.
- Actively mentor and guide team members as a technical leader in areas of expertise.
- Utilize a broad array of technologies and techniques including traditional ML, Deep Learning, LLMs, VLMs, Fine-tuning, Prompt optimization to enhance the way Grainger manages KeepStock inventory.
- Work closely with other ML, engineering, product teams to design and develop AI/ML solutions for scale and integrate your models into Grainger's platforms.
- Work backward from customer use cases, design, implement, and deploy ML models that solve the use cases at scale.
- Lead and contribute to strategic planning and direction of our ML initiatives, ensuring they align with business objectives and drive high value.
Other
- PhD degree in a field such as Applied Mathematics, Physics, Engineering, Computer Science, Electrical Engineering or equivalent experience
- Experience building and leading a high-impact team
- Ability to effectively communicate technical solutions to engineering teams and business audiences
- Experience automating data augmentation and refresh using Airflow and Bash Scripting
- Bonus: experience with GIS systems
