Architect and implement production ML/AI workloads, end-to-end pipelines, MLOps lifecycle.
Lead GenAI: RAG architectures, agentic systems, AI observability, NL querying.
Provide MVPs and deep-dive sessions during sales, aligning AI to customer challenges.
Influence AI roadmap by voicing the customer and cross-functional collaboration.
Drive thought leadership through tutorials, training, and talks at industry events.

🎯 Requirements

10+ years hands-on DS/ML; focus on ML Eng or Data Science.
Production-grade ML infra on AWS/Azure/GCP and model monitoring.
GenAI/LLMs, agentic systems, vector DBs, and fine-tuning.
Distributed Spark based systems experience.
Strong communication to technical and non-technical audiences.
Pre-sales or post-sales, 5+ years customer-facing.

🎁 Benefits

Comprehensive benefits and region-specific details.
Details via linked document for your region.

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