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17 hours ago
A senior leader is required to spearhead the development of large language models (LLMs) for personally identifiable information (PII) detection in our vast data ecosystem.
The successful candidate will design and implement AI solutions using cutting-edge technologies, deploying them on cloud and on-premises infrastructure for efficient operation. They will also develop generative AI agents that leverage data schemas and metadata to improve PII detection accuracy.
Collaboration is key: the AI Team Lead will work closely with data engineering, security, and compliance teams to ensure the AI models meet business requirements and align with industry regulations.
- Design, train, fine-tune, and optimize local LLMs or other NLP models for PII detection across diverse data types.
- Develop generative AI agents for schema- and metadata-based PII detection to enhance identification of sensitive data.
- Work with AI frameworks to deploy and scale models efficiently in a distributed environment.
- Implement and optimize AI/ML solutions on Azure cloud and on-premise infrastructure, ensuring high performance and reliability.
- Collaborate with cross-functional teams to align AI solutions with business needs and regulatory requirements.
The ideal candidate will have:
- Strong experience with AI frameworks such as Ray, ollama, vLLM, and PyTorch for building and scaling LLM solutions.
- Expertise in LLM fine-tuning and prompt engineering, including techniques like Reinforcement Learning from Human Feedback (RLHF).
- Hands-on experience with AI model deployment in cloud environments as well as on-premises servers.
- Familiarity with large-scale data and distributed computing paradigms to handle massive datasets.
- Strong programming skills in Python, with experience in machine learning frameworks and libraries.
The successful candidate can expect:
- A competitive salary and benefits package.
- A challenging and dynamic work environment.
- Ongoing training and professional development opportunities.
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