
Senior AI Innovator
2 days ago
Achieve leadership in AI and GenAI innovation by spearheading architectural and algorithmic advancements for a cutting-edge platform.
Key responsibilities include leading a team of experts to develop and deploy advanced machine learning models, creating pipelines that autonomously discover problems and recommend actions, and generating actionable insights from complex data patterns.
- AI and GenAI Leadership
- Lead a team of data scientists and engineers in hands-on mode to develop and deploy advanced LLM, SLM, and RAG-based models.
- Develop pipelines that discover problems, identify root causes, and recommend actions in real-time and batch processing scenarios.
- Insight Generation
- Lead data scientists in creating and fine-tuning Generative AI models to generate analysis for problem discovery.
- Translate complex data patterns into actionable insights for business stakeholders.
- Platform Evolution
- Collaborate with Technical Architects to evolve frameworks for augmenting and evolving batch processing architectures with streaming architectures.
- Adapt reference architectures for optimal operationalization of AI and Gen-AI models in both batch and real-time modes.
- Client Deployments and Development
- Consult on creating automated data pipelines for raw data and engineered features.
- Establish robust MLOps and LLMOps practices, including automated model monitoring, retraining triggers, and performance benchmarking.
- Leadership and Collaboration
- Lead and mentor a team of data scientists and engineers.
- Closely collaborate with product managers, data engineers, and business analysts to align AI solutions with platform goals and user requirements.
Required Skills and Qualifications:
Deep understanding of Statistics, Classical Machine Learning, Deep Learning, and GenAI.
Hands-on experience with cloud-based Machine Learning platforms.
Excellent ML programming skills in Python using open-source libraries.
12-18 years of Machine Learning model development and application experience.
Benefits:
Opportunities for career growth and professional development.
Collaborative and dynamic work environment.
Others:Be part of a forward-thinking organization driving innovation in AI and GenAI.
Pursue projects that challenge your expertise and spark creativity.
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