Sr. Engineer - Applied AI
Remote (United States)
R
USD 155K-180K Senior-level Full Time
Found 16h ago
Tasks
- Collaborate with technical and business teams
- Design, build, and maintain data pipelines
- Establish evaluation frameworks
- Implement RAG pipelines and fine-tune LLMs
- Lead scalable deployment of AI models
- Optimize inference latency throughput and cost
- Own the full lifecycle of AI ML projects
Perks/Benefits
- 401k plan
- Dental
- Disability insurance
- Holidays
- Life insurance
- Medical
- Paid time off
- Profit sharing
- Tech stipend
- Vision insurance
- Wellness stipend
Skills/Tech-stack
AWS | Azure | CI/CD | Data Pipelines | Docker | GCP | Kubernetes | LLMs | MLOps | Model Risk Management | Model risk | Monitor and observability tools | NLP | Observability tools | PyTorch | Python | Reinforcement Learning | Risk Management | SQL | Scikit-learn | TensorFlow | Transformers
Education
Roles
AI | AI Engineer | Engineer
Language: en |
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