Related skills
aws kubernetes gcp kafka langgraph📋 Description
- Lead and mentor a team of Applied Scientists and AI/ML Engineers.
- Lead the technical strategy for AI/ML-based solutions from structured and unstructured data.
- Build AI-native CRM intelligence: autonomous workflows and real-time reasoning.
- Partner with the AI Platform team for LLMOps strategy and deployment.
- Apply scientific intuition to design AI systems for customer-centric real-world performance.
- Act as technical authority across AI/ML and data; shape the engineering roadmap.
🎯 Requirements
- 8+ years of applied science or engineering in ML/AI lifecycles in production.
- Proven ability to lead and scale a technical team; mentor senior talent.
- Deep expertise in AI engineering; LangGraph, RAG architectures, vector databases.
- Builder who ships iterative AI solutions that solve real customer problems.
- Proven track record delivering customer and business value via AI/ML solutions at scale.
- Solid understanding of AWS/GCP, distributed systems, Kubernetes, Kafka.
🎁 Benefits
- People-first culture with collaboration and inclusivity; everyone is welcome.
- Unlock potential: push boundaries, own projects, and experiment with tech.
- Flexible hours, wellness perks, and generous leave policies.
- Grow with us through mentorship, coaching, or internal mobility.
- Meaningful work helping 100,000+ SMEs grow and succeed.
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