Description

You will architect and maintain quality and safety standards for AI product offerings.

Responsibilities

• Architect the framework to enforce and maintain the highest quality and safety standards for AI driven product offerings.
• Collaborate with cross-functional teams (embedded, apps, platform, QA, product, and UX) to deploy AI solutions.
• Test and refine advanced machine learning models, optimizing them for edge and cloud environments.
• Develop datasets and evaluations to gauge the quality and safety of offerings.
• Monitor and maintain the performance of AI features in production for iterative improvements.

Required Skills

• 3-5 years of relevant experience in Data Science, Mathematics, Computer Science, Computer Engineering, or Electrical Engineering.
• Strong analytical and problem-solving capabilities.
• Experience with data structures, curation, annotation, pipelines, model training, fine-tuning, and evaluation.
• Proficiency in LLM and GenAI training and evaluation.
• Proficiency in Computer vision training and evaluation.
• Expertise in Python and Shell.
• Familiarity with Embedded Linux and Git.
• Experience with TensorFlow and PyTorch.

Key Skills

Education

Any Graduate