Description:

Design, implement, and maintain AI infrastructure to support the machine learning life cycle, including data ingestion, training, evaluation, and deployment.
Collaborate with Machine Learning Engineers and Data Scientists to ensure robust, scalable, and efficient AI systems.
Optimize and scale models and algorithms for efficient inference.
Deploy, monitor, and manage AI models in production.
Implement rigorous security protocols to protect sensitive data.
Collaborate with cross-functional teams to drive product requirements and enhance the AI platform.
Stay updated on industry trends and technologies to present potential use cases to the team.

Requirements:

Experience in deploying and managing AI models in production.
Proficiency in Python, C/C++, CUDA, and GPU performance profiling.
Familiarity with machine learning frameworks like PyTorch, TensorFlow, or similar.
Knowledge of cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes).
Strong problem-solving skills and excellent communication abilities.

Nice to Have:

Base salary range of $160,000 - $215,000/year.
Generous healthcare package.
Catered lunches.
Flexible vacation time.
Remote work option available for candidates authorized to work in the US or Canada.
Equal opportunity workplace promoting diversity and inclusion.