AI Engineer, Playable Ads
Tasks
- Add retries and failure recovery
- Build ML and generative AI pipelines
- Deploy and monitor ML workflows in production
- Design service and API contracts
- Document handoffs and ship iteratively
- Implement containerized workers
- Implement staging and production end to end tests
- Measure quality latency failure rate and generation cost
- Orchestrate asynchronous workflows
- Productionize ML prototypes and models
- Store and version artifacts
- Translate product needs into maintainable ML systems
- Use logs traces evaluations and experiments
- Validate schemas and ensure idempotency
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Artifact storage | Asynchronous orchestration | CI/CD | Cloud platform | Containerization | Data Versioning | Docker | Evaluation | Google Cloud | Google Cloud Platform | Idempotency | Kubernetes | LLMs | Message Queues | Model versioning | Monitoring | Multimodal Generation | OpenTelemetry | PyTorch | Python | Reproducibility | Retries | Retrieval-Augmented Generation | Schema Validation | TensorFlow | VLMs | Workflow Orchestration
Education
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