Basic Qualifications
Bachelor's degree or experience with 15+ years Software Engineering principles and System Architecture or Master's degree with 8+ years product engineering experience
3+ years experience on AI/ML projects
Experience in core ML/AI and deep learning technologies such as, TensorFlow, PyTorch, Kubernetes, Huggin Face, Databricks, and LLM APIs
Experience with cloud platforms (e.g., AWS, Azure, GCP)
Experience using Containerization tools, such as Docker with a deep understanding of ML/AI application development
Experience programming in Go or Python languages
Preferred Qualifications
We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big and small things in life to big career moments.