Responsibilities:
- Architect, Build, and Optimize ML Systems: Develop and deploy robust ML models that deliver high-impact results for real-world applications.
- Training Pipeline Development: Design and implement efficient, scalable pipelines to train and retrain ML models, ensuring they meet business needs.
- Fine-Tuning Large Language Models (LLMs): Continuously fine-tune LLMs to align with specific enterprise requirements, enhancing accuracy, relevance, and performance.
Requirements:
- ML Systems Expertise: Proven experience in developing, optimizing, and deploying ML systems in production environments.
- Model Training and Pipeline Mastery: Strong background in building and managing end-to-end training pipelines for ML models.
- LLM Fine-Tuning: Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases and optimizing them for targeted outcomes.
Benefits:
- Comprehensive health care: 100% employer-paid, comprehensive health care including medical, dental, and vision for you and your family.
- Paid leave: Paid maternity and paternity for 14 weeks at employees' normal pay.
- Unlimited PTO: Unlimited PTO, with management approval.
Trase Systems
Trase Systems is an AI company founded in 2023 by Joe Laws and Grant Verstandig. They empower enterprise leaders to harness the full potential of AI without the associated complexity and risks and are at the forefront of AI Agent innovation.