About the Role
The role involves building and optimizing AI infrastructure to enable efficient model development, deployment, and monitoring. The candidate will collaborate with technical teams to integrate AI solutions into production environments and ensure platform scalability and performance.
Responsibilities
- Design and implement robust AI and machine learning platforms
- Develop tools and pipelines for model training and inference
- Integrate AI systems with existing data infrastructure
- Ensure platform scalability, reliability, and security
- Collaborate with data scientists to operationalize models
- Monitor system performance and troubleshoot issues
- Optimize workflows for efficient model deployment
- Support continuous integration and delivery practices
- Maintain documentation for platform architecture and processes
- Stay current with advancements in AI technologies and frameworks
Nice to Have
- Master's degree in a relevant technical discipline
- Experience with large-scale distributed systems
- Background in MLOps or AI platform development
- Knowledge of model monitoring and versioning tools
- Experience with real-time data processing systems
- Familiarity with infrastructure as code tools like Terraform or CloudFormation
- Contributions to open-source AI or machine learning projects
- Understanding of security best practices in cloud environments
Compensation
Competitive salary based on experience and qualifications
Work Arrangement
Hybrid work model with flexible scheduling options
Team
Collaborative engineering team focused on innovation and technical excellence
Why Join Us
- We offer opportunities to work on cutting-edge AI technologies in a supportive environment
- Engineers are encouraged to lead initiatives and contribute to technical direction
Professional Development
- Access to training programs, conferences, and certification support
- Internal knowledge-sharing sessions and mentorship opportunities
No visa sponsorship available for this position
