Advanced AI Solutions Lead

6 days ago

Bengaluru, Karnataka, India beBeeResponsibilities Full time ₹ 5,00,000 - ₹ 8,00,000

Job Title: Advanced AI Solutions Lead

About the Role

We are seeking an experienced AI expert to spearhead the development of Large Language Models (LLMs) for Personally Identifiable Information (PII) detection across our vast data ecosystem. This role involves building and fine-tuning custom LLMs that can identify PII in documents, databases, knowledge graphs, source code, and other knowledge-sharing platforms.

The successful candidate will design and implement AI solutions using technologies like Ray, ollama, vLLM, and PyTorch, deploying them on cloud infrastructure for efficient, large-scale operation. They will also develop generative AI agents that leverage data schemas and metadata to improve PII detection accuracy.

Collaboration is key: you will work closely with data engineering, security, and compliance teams to ensure the AI models meet business requirements and align with industry regulations. Additionally, you will mentor a small team of AI engineers, guiding their work and fostering a culture of technical excellence and responsible AI practices.

Key Responsibilities
  • 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 cutting-edge AI frameworks to deploy and scale models efficiently in a distributed environment.
  • Implement and optimize AI/ML solutions on cloud infrastructure, ensuring high performance and reliability.
  • Collaborate with data engineering, security, and compliance teams to align AI solutions with business needs and regulatory requirements.
  • Maintain and monitor model performance, retraining models on a regular basis to handle evolving data and improve accuracy over time.
Requirements
  • 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) to refine model outputs.
  • Hands-on experience with AI model deployment in cloud environments.
  • 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.
  • Ability to work cross-functionally with stakeholders in security, compliance, and data engineering to incorporate their requirements into AI solutions.
Preferred Qualifications
  • Proven experience leading small AI/ML teams, with a track record of delivering projects and mentoring team members.
  • Knowledge of data security and compliance frameworks, as well as experience with responsible AI practices.

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