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Senior, specialized ML platform role in Mumbai at a known consulting firm creates moderate candidate competition.
Deep GenAI platform, MLOps, and LLM expertise required creates strong domain-specific hiring bias.
Explicit 8+ years, managerial plus mandatory LLM/MLOps, cloud and security requirements make shortlisting strict.
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Lead and manage a cross-functional AI platform engineering team delivering enterprise-grade AI and Generative AI solutions.
Own the design, development, and operational health of scalable, secure AI platforms including LLM and RAG architectures, emphasizing MLOps and production readiness.
Collaborate with data scientists, product managers, and cloud architects to align technical execution with business goals and ensure compliance with security standards like GDPR and SOC2.
8+ years experience in data/software with at least 3+ years in people management or technical leadership for Data Science/ML teams.
Hands-on experience with Large Language Models (OpenAI, Claude, Llama) and RAG architectures, plus cloud-native AI services such as AWS SageMaker, Azure AI, or Google Vertex AI.
Expertise with Kubernetes, Docker, MLOps pipelines, vector databases (Milvus, Pinecone, Weaviate), and distributed systems design.
Bachelor's or Master's degree in Data Science, Computer Science, AI, or related quantitative field; role requires onsite presence in Mumbai.
Proven leader capable of managing AI/ML engineering teams that move models from research prototypes to production at scale.
Strong technical depth in AI/ML platform trade-offs including compute, scalability, security, and cost-efficiency with experience in multi-cloud and CI/CD environments.
Experienced in cross-functional collaboration with product management and cloud teams to build reliable, compliant AI platforms supporting rapid experimentation and deployment.