Llm Ops Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Llm Ops Engineer (AI): Managing the lifecycle of Large Language Models from development to deployment, monitoring, and continuous improvement with an accent on fine-tuning pre-trained models and scaling infrastructure. Focus on implementing content moderation systems, detecting and mitigating bias in model outputs, and ensuring regulatory compliance in AI systems.
Location: Denver, Colorado or Raleigh, NC and candidates should reside within reasonable commuting distance, as this role requires on-site presence at least three days per week.
Salary: $140,000 to $180,000
Company
is on a mission to Raise The Bar™️ for the legal profession by delivering transformational and globally-trusted solutions to law firms and corporate legal teams worldwide.
What you will do
- Fine-tune pre-trained models and curate datasets for training.
- Develop and manage APIs for model serving and scale infrastructure.
- Track performance and quality metrics, optimizing costs.
- Create and maintain golden datasets for benchmark testing.
- Design and implement user feedback collection systems.
- Implement content moderation systems and detect bias in model outputs.
Requirements
- Experience with LLM development, fine-tuning, and deployment.
- Strong programming skills, particularly in Python.
- Experience with Kubeflow, Apache Airflow, MLFlow, or other LLM Pipeline technology.
- Experience with Azure OpenAI, AWS Sagemaker, and/or Vertex AI.
- Understanding of machine learning operations and MLOps principles.
- Familiarity with ISO 27001 and SOC2 Certification
Culture & Benefits
- Emphasize helping each other grow and doing the right thing always.
- Focus on tools that matter to the difference-makers in the legal world and amplifying their impact.
- Offer a dynamic and diverse work environment where employees can grow, listen, empathize, and problem-solve together.
- Provide health insurance, retirement savings plans, generous paid time off, and a supportive work-life balance.
- Provide career paths and opportunities for professional development.
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