Sr. Machine Learning Engineer (Remote)
Tasks
- Build and optimize data pipelines
- Collaborate with data scientists and engineers on model training
- Conduct analysis to identify vulnerabilities and gaps
- Design and iterate end to end workflows for machine learning systems
- Develop and deploy LLM post training solutions
- Implement best practices for testing code reviews logging and metrics
- Implement scalable high throughput low latency inference systems
- Improve product architecture knowledge models and user experience
- Mentor engineers across technologies
- Monitor deployed changes and improve reliability and performance
Perks/Benefits
- Competitive vacation and holidays
- Employee networks
- Paid adoption leave
- Paid parental leave
- Paid time off
- Professional development
- Remote work
- Volunteer opportunities
- Wellness programs
Skills/Tech-stack
AWS | Ansible | Apache Spark | Cassandra | Chef | Code Reviews | Concurrency | Continuous integration | Data Engineering | Distributed Systems | Docker | Elasticsearch | Fine Tuning | GCP | GPU Computing | GPU clusters | High Throughput | High-Throughput Systems | Kafka | Kubernetes | LLM Fine-tuning | Language Models | Large Language Models | Logging | Low Latency | Low-Latency Systems | Machine Learning | Metrics | Model Training | Partitioning | Python | Sharding | Terraform | Unit Testing
Education
N/A
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