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.
- Experience2 - 6 Years
- No. of Openings3
- EducationProfessional Degree
- RoleAI Engineer
- Industry TypeIT-Hardware & Networking / IT-Software / Software Services
- Gender[ Male / Female ]
- Job CountryIndia
- Job TypeWork from Office