Senior AI/ML Platform Engineer
Tasks
- Build backend microservices and workflows
- Create data and inference pipelines
- Debug test monitor and improve AI platform services
- Deliver production ready AI capabilities
- Deploy and fine-tune machine learning models
- Develop AI platform components
- Improve storage caching and data access patterns
- Support inference runtime and orchestration
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Flink | Apache Spark | C++ | Caching | Data Pipelines | Data Storage | Distributed Systems | Event Driven | Event-driven architecture | Experiment tracking | Go | Kafka | LLM Inference | MLOps | Microservices | Model Deployment | Model Evaluation | Observability | Orchestration | Performance optimization | Python | REST APIs | System design | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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