About the Role
The role involves designing, building, and maintaining AI-powered systems integrated with robust cloud infrastructure. Engineers will collaborate across disciplines to deploy models efficiently and ensure systems are reliable, scalable, and automated.
Responsibilities
- Design and implement continuous integration and continuous deployment pipelines
- Develop and manage infrastructure using Terraform for reproducible environments
- Containerize applications and services using Docker for consistent deployment
- Support the deployment and monitoring of machine learning models in production
- Collaborate with data scientists and software engineers to integrate AI components
- Ensure system reliability, scalability, and performance under load
- Automate operational workflows to reduce manual intervention
- Maintain version control and code quality standards across repositories
- Troubleshoot and resolve issues in staging and production environments
- Contribute to architectural decisions for cloud-native applications
- Implement security best practices across deployment pipelines and infrastructure
- Optimize resource utilization in cloud environments
- Participate in code and design reviews
- Stay current with advancements in AI, DevOps, and cloud technologies
- Document systems, configurations, and operational procedures
Nice to Have
- Experience deploying AI models at scale
- Familiarity with Kubernetes or other container orchestration platforms
- Background in test-driven development and automated testing
- Exposure to MLOps frameworks and practices
- Knowledge of serverless architectures and event-driven systems
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid working model with flexibility for remote work
Team
Cross-functional team focused on AI-driven solutions and cloud infrastructure
Tech Stack
- Terraform for infrastructure as code
- Docker for containerization
- CI/CD pipelines using modern DevOps tools
- Cloud platforms including AWS, GCP, or Azure
- Git-based version control workflows
Culture
- Emphasis on innovation and technical excellence
- Supportive environment for professional growth
- Regular knowledge sharing and team collaboration
- Commitment to delivering high-quality AI solutions
- Inclusive and diverse team culture
Visa sponsorship available for qualified candidates
