About you
- Bachelors in Computer Science or Software Engineering with a 3.5+ GPA
- 3+ years of industry experience scaling and deploying ETL pipelines or Deep Learning models for real-world scenarios
- Strong experience in training deep learning models in distributed multi-node GPU environments
- Proficient with data engineering technologies, including Spark and Airflow
- Familiarity with Python and PyTorch, Tensorflow, or JAX
- Excellent written and verbal communication skills, capable of articulating complex technical concepts to diverse audiences.
- A strong desire to learn, grow, and drive impact on real global problems—and to help others around you do the same.
- Experience with supply chain, manufacturing, or related problems is a plus but not required.
Responsibilities
- Develop, implement, and deploy AI models to solve real-world complex problems in global supply chain and manufacturing.
- Apply and build upon state-of-the-art machine learning technologies, stay-up-to-date with current developments in the AI field, and use your expertise to inspire AI applications across the organization.
- Collaborate with cross-functional teams including Engineering, Design, Product Management, and industry experts to build high-quality product features that can be used by major companies around the world.
- Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a dynamic startup environment.
- Help shape the company by participating in hiring decisions and contributing to our culture of continuous learning and growth.
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