Engineering Manager – AI Platforms

Added
1 hour ago
Type
Full time
Salary
Salary not provided

Related skills

docker aws kubernetes sagemaker pinecone
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📋 Description

  • Bridge DS research and production software engineering.
  • Lead cross-functional team health, growth, delivery.
  • Guide architecture of LLM platforms for scalable value.
  • Foster experimentation, scientific excellence, dev growth.
  • Align tech with global consulting framework and client needs.
  • Translate complex AI capabilities into business value.

🎯 Requirements

  • 8+ years in data/software with 3+ years people leadership.
  • Deep Data Science lifecycle understanding.
  • Hands-on with LLMs, GenAI, RAG architectures.
  • Kubernetes, Docker, cloud-native AI services (AWS Bedrock/SageMaker, Azure AI, Vertex AI).
  • Vector databases (Milvus, Pinecone, Weaviate); distributed systems.
  • Agile/Scrum, global team management.

🎁 Benefits

  • Lead cutting-edge AI projects in a global consulting env.
  • Leadership development programs and training sessions.
  • Dynamic, collaborative team with diverse projects.
  • Position based in Mumbai (onsite).
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