PhD in Computer Science, Electrical Engineering, or a related field.
At least 2 years of industry experience in Machine Learning/GenAI and MLOps.
Industry experience in ML/AI product development and deployment.
Deep knowledge of foundational model architectures and industry experience in foundation model development.
Proficiency in programming languages such as Python, Java, or C++.
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Hands-on industry expertise in Agentic AI tools, frameworks, and best practices (e.g. Codex, Claude Code, OpenCode, Langchain, Langchain, Agno).
Excellent problem-solving skills and attention to detail.
Strong communication skills and ability to work collaboratively in a team environment.
Ability to manage multiple highly complex projects while meeting quality expectations and adhering to the company's standards of ethical behavior.
Ability to encourage continuous improvement and alternative viewpoints to challenge ingrained practices.
Ability to set clear expectations.
Ability to provide constructive feedback to encourage skills growth
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, or related work experience.