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nlp aws gcp tensorflow llms📋 Description
- Research and prototype AI/ML/GenAI techniques (OCR, RAG) for Ridgeline use cases.
- Quantify business value, including cost, latency, and success rates.
- Create and maintain scalable model evaluations for current and future AI capabilities.
- Develop LLM fine-tuning strategies; compare SLMs vs LLMs; train proprietary models.
- Collaborate with interdisciplinary teams to move prototypes into enterprise-grade systems.
- Stay at the forefront of AI and adopt new tools and methodologies.
🎯 Requirements
- 8+ years of AI/ML research & development.
- Experience deploying ML models on cloud platforms (AWS, GCP, Azure).
- Experience with NLP, including evaluating large language models.
- Strong problem-solving and analytical skills; scalable, high-performance solutions.
- Excellent communication to convey complex technical concepts.
- Strong planning and organizational skills; able to run research independently.
- A degree in computer science or related technical discipline.
🎁 Benefits
- Master’s or PhD in AI/ML, data science, or related field.
- Proficiency in Python and TensorFlow/PyTorch.
- Experience training proprietary AI models from scratch.
- Background in financial technology or investment management.
- Unlimited vacation; education and wellness reimbursements; $0 cost employee insurance.
- Company Stock Plan eligibility for all employees.
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