Senior Machine Learning Engineer
Tasks
- Build ML infrastructure for model serving and inference
- Collaborate with scientists to productionize research
- Contribute to technical design and architecture decisions
- Improve ML reliability performance and cost efficiency
- Integrate LLMs into production systems
- Mentor junior engineers through code review and pairing
- Own end-to-end ML feature delivery
- Partner with product software engineers for ML integration
- Set up ML monitoring and evaluation frameworks
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | BentoML | DBT | Docker | Experiment tracking | Feature Flags | Inference Pipelines | Kafka | Kubernetes | LLM | MLOps | MLflow | Machine Learning | Metaflow | Model Serving | Prompt engineering | PyTorch | Python | Ruby | SQL | Snowflake | TensorFlow
Education
N/A
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