Gen AI Tech Lead – SVP

Gen AI Tech Lead – SVP

Requirements

• Deep knowledge of Large Language Models (LLMs) and advanced fine-tuning techniques, including Parameter-Efficient Fine-Tuning (PEFT) methods, such as LoRA, QLoRA, Adapter Tuning, and Prefix Tuning.
• Expertise in model compression and quantization methods, skilled in techniques like AWQ and GPTQ, particularly GPTQ-for-LLaMA.
• Adept at prompt engineering, demonstrating proficiency in various techniques and best practices.
• Advanced knowledge of Retrieval-Augmented Generation (RAG) techniques, including hybrid search methods and multi-vector retrieval.
• Proficiency in TensorFlow, PyTorch, and high-level APIs like Keras, with knowledge of distributed training and parallel processing frameworks.
• Advanced NLP skills, including Named Entity Recognition (NER), Dependency Parsing, Text Classification, and Topic Modeling.
• Strong proficiency in data preprocessing, feature engineering, and handling large-scale datasets.
• Experienced with cutting-edge generative AI tools, including LangChain, LlamaIndex, and Hugging Face Transformers.
• Knowledge of AI compliance frameworks and best practices.

Responsibilities

• Define and implement a comprehensive AI strategy aligned with enterprise-wide goals, focusing on innovation in the Controls Technology domain.
• Hire, mentor, and manage a team of AI specialists, ensuring the acquisition and retention of top talent in the AI/ML space.
• Collaborate with internal stakeholders to identify business challenges that can be solved through AI, creating scalable solutions using Generative AI technologies.
• Oversee the design, development, and deployment of AI models and algorithms, ensuring solutions are robust, efficient, and scalable.
• Work closely with the Data Mesh, Cloud Architecture, and broader tech teams to integrate AI models into existing and future architectures.
• Continuously monitor the latest AI trends and technologies to ensure the organization remains at the cutting edge of Gen AI innovations.
• Ensure all AI initiatives comply with data privacy, ethical AI standards, and corporate governance policies.

Preferred Qualifications

• Experience with real-time AI applications and streaming data processing is valuable.
• Familiarity with frameworks such as Microsoft’s AI Guidance Framework will be beneficial in maintaining responsible AI development and deployment practices.