Related skills
python kubernetes pytorch mlops langchain📋 Description
- Serve as the named solutions architect and primary technical POC for an existing book of financial services customers.
- Deepen platform adoption by mapping workloads to CoreWeave capabilities and designing end-to-end solutions.
- Train, fine-tune, evaluate, and deploy deep learning and LLM workloads into production-grade systems.
- Guide customers on the AI lifecycle from model development to governance and optimization.
- Diagnose and resolve complex, novel technical challenges with enterprise engineering teams.
- Partner with Account Managers, Specialist Field Engineers, and Product to align solutions with roadmaps.
🎯 Requirements
- 4+ years in solutions engineering or AI-focused field roles.
- Python proficiency with hands-on training, fine-tuning, evaluation of DL/LLM models.
- Experience building production LLM-powered applications.
- Experience with financial services customers and their requirements.
- Familiarity with AWS, GCP, or Azure.
- Excellent written and verbal communication for engineers and executives.
🎁 Benefits
- Discretionary bonus and equity awards.
- Comprehensive medical, dental, and vision coverage.
- 401(k) with generous employer match.
- Flexible PTO and parental leave.
- Catered lunches and a casual work environment.
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