
AI and GenAI Visionary Leader
1 week ago
Lead Role in AI and GenAI Development
This is a key position focused on the Lighthouse platform, providing architectural and algorithmic leadership to evolve AI and GenAI driven problem discovery, root cause analysis, and action recommendation modules.
- Advanced AI and GenAI Capabilities:
- Develop and deploy advanced LLM, SLM, and RAG based models along with classical machine learning models to develop pipelines that autonomously discover problems, identify root causes, and recommend actions.
- Maintain models are interpretable, scalable, and optimized for performance in production environments at big data scale.
- Gen-AI-Powered Analysis and Insights Generation:
- Create and fine-tune Generative AI models to assist in analysis creation for problem discovery, translating complex data patterns and root cause findings into actionable insights.
- Implement prompt engineering and fine-tuning techniques to enhance the relevance and accuracy of insights.
- Reference Architectures and Client Deployments:
- Evolve frameworks for augmenting and evolving batch processing data architectures with streaming architectures to support connected data and ML pipeline executions.
- Adapt reference architectures that operationalize AI and Gen-AI models optimally in both batch and real-time modes.
- Development of Use Cases and Leadership:
- Lead and support development of use cases on the platform for various vertical specific problem statements.
- Support platform demonstration meetings by participating and leading discussions around explanation of platform capabilities.
- Leadership and Collaboration:
- Lead and mentor a team of data scientists and machine learning engineers, providing guidance on best practices in GenAI, AI/ML methodologies, and coding standards.
- Collaborate closely with product managers, data engineers, and business analysts to align AI solutions with platform goals and user requirements.
- Pre-sales and Proposals:
- Support pre-sales, marketing hyper-scaler partnerships, and other sales activities such as RFPs by providing subject matter expertise during scoping and designing of the engagements.
- Contribute to developing proposals, POVs, and other POC read-outs.
Required Skills and Qualifications:
- In-depth conceptual understanding of Statistics, Classical Machine Learning, Deep Learning, and GenAI.
- Hands-on development experience in these areas.
- Able to understand the nuances of business problems in various domains.
- Significant exposure to cloud-based Machine Learning platforms.
- Experience in leveraging open-source LLMs and prompt engineering.
- Hands-on experience with excellent ML programming skills in Python using open-source libraries.
- 12-18 years of Machine Learning model development and application experience.
- Experience in building cloud-based products that implement GenAI and ML modelling as a service.
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