Key skills
Distributed SystemsPythonAIMachine LearningMLMLOpsAWSCI/CDCommunication
About this role
Role Overview
- Design, build, and deploy production-grade AI systems
- Contribute to scalable AI systems and ML pipelines
- Deliver independently on well-defined features
- Collaborate closely with senior engineers, product managers, and cross-functional teams
- Ensure reliability, performance, and stability of AI services in production environments
- Collaborate with senior engineers to operationalize research prototypes
- Implement evaluation metrics and validation processes
- Support rollout and iteration of AI features based on performance data
- Work closely with product and engineering teams to implement AI-driven features
Requirements
- 8+ years of experience in AI/ML engineering or applied machine learning
- Experience building and deploying ML models in production environments
- Strong software engineering background (Python or similar)
- Familiarity with distributed systems and scalable data processing
- Experience contributing to ML pipelines and automated deployment workflows
- Working knowledge of MLOps concepts (model versioning, monitoring, CI/CD)
- Ability to debug issues across model, application, and infrastructure layers
- Strong problem-solving skills and attention to detail
- Effective communication skills within technical teams.
Tech Stack
- Distributed Systems
- Python
Benefits
- Competitive salary
- Advanced AWS Partnership training opportunities
- Professional development
- Global team events