Key Responsibilities:
Systems Integration:
● Lead the integration of AI and ML models into existing systems and platforms. ● Collaborate with machine learning engineers to understand model requirements and dependencies.
Performance Optimization:
● Optimize systems for the deployment of large language models (LLMs) like GPT-4 and BERT.
● Implement solutions for efficient data processing and model serving. Scalability and Reliability:
● Ensure systems are scalable to handle large datasets and high-throughput requirements.
● Maintain system reliability, focusing on uptime and performance consistency. Collaboration with Development Teams:
● Work closely with software engineers and DevOps teams to align AI/ML model deployment with broader software development practices.
● Facilitate the transition of models from the development phase to production.
Monitoring and Troubleshooting:
● Monitor systems for performance issues, quickly identifying and resolving any problems.
● Implement robust troubleshooting protocols for AI/ML systems. Documentation and Compliance:
● Maintain detailed documentation for system configurations and processes. ● Ensure compliance with data privacy and security standards in system design and implementation.