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mlops deployment model training data ingestion pipelines📋 Description
- Develop AI/ML roadmap for Generative AI and ML solutions.
- Lead Agentic AI initiatives with autonomous AI agents addressing customer needs.
- Own end-to-end AI/ML pipelines: data ingestion, training, deployment, real-time apps.
- Architect scalable AI/ML systems with governance across regions.
- Collaborate with engineering, product, data analytics, and domain teams.
- Drive innovation and research to maintain competitive edge.
🎯 Requirements
- 8+ years in AI/ML leadership in agile Tech/SaaS with global deployments.
- Familiarity with Claude Code and building Agentic AI apps for customer use cases.
- Experience designing, integrating, and scaling end-to-end AI/ML systems for personalization.
- Experience in customer-facing domains with product mindset; strategic and tactical.
- Exceptional leadership, communication, and mentoring of high-performing teams.
- Advanced degree in Computer Science, ML or AI (preferred).
🎁 Benefits
- Generous time off and parental leave, wellness leave.
- Healthcare, dental, and vision insurance; 401(k) retirement plan.
- Flexible remote or hybrid work options.
- Employee Resource Groups and inclusive culture.
- Diversity, equity, inclusion and belonging initiatives; EEO policy.
- Learning and development opportunities.
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