Provide technical leadership for large-scale distributed systems and ML platforms
Lead design, architecture, and delivery across the full SDLC
Drive innovation in Big Data, Generative AI, and Graph ML
Architect scalable microservices and real-time inference systems
Mentor teams, set technical direction, foster collaboration
Champion resilient, secure, high-performance systems at scale

🎯 Requirements

Degree in Computer Science, Mathematics, or related field
10+ years across the full software development lifecycle
5+ years with distributed Big Data/ML platforms (Spark, Kafka, Flink)
Hands-on GenAI: RAG, AI Agents, and LLM fine-tuning
Experience with Graph ML and GNNs
End-to-end ownership from design to production scaling
5+ years deploying large-scale solutions on AWS/Azure/GCP
Proven ability to solve complex cross-domain problems with measurable impact

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