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AI Visionary Lead

2 weeks ago

Mumbai, Maharashtra, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Key Performance Objectives

  • Deliver AI Solutions: Develop and deploy high-impact AI models that drive business results.
  • Build Scalable Platforms: Architect and launch a retrieval-augmented generation platform to increase knowledge accessibility and efficiency.
  • Break Down Data Barriers: Unify fragmented datasets and establish a scalable platform for cross-agency AI workflows.
  • Productize AI Tools: Enhance and scale the AI-assisted input brief initiative into a network-wide capability.
  • Establish Secure AI Infrastructure: Develop cloud-based AI pipelines for model scalability, monitoring, and compliance with global data privacy standards.
  • Drive Innovation: Partner with leadership to translate business challenges into AI-powered solutions.

Desired Qualifications

  • Proven Track Record: 8+ years in software engineering/data science; 3+ years in applied AI/ML of designing and deploying production-ready AI solutions.
  • Hands-On Experience: Building modern RAG systems with frameworks such as LangChain or LlamaIndex, and vector databases like Pinecone or Chroma.
  • Advanced Proficiency: Python and core AI/ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face). Strong grounding in NLP and unstructured text data.
  • Cloud Platform Expertise: At least one major cloud platform (AWS, GCP, Azure) for AI deployment.
  • Data Expertise: Turning messy inputs into structured, actionable insights.
  • Complex Workflow Management: Designing and managing complex AI workflows, including meta-agents, API integrations, and large-scale data transformations.
  • Technical Communication: Communicating complex technical concepts clearly to non-technical stakeholders.
  • MLOps Expertise: MLflow, Kubeflow is a plus.
  • Industry Experience: Prior experience in marketing, advertising, or consulting environments is advantageous.

What We Offer:

  • Founding Member Opportunity: High-visibility AI team.
  • Global Portfolio Impact: Direct impact on iconic brands.
  • Innovative Culture: Collaborative, innovative culture with room for experimentation and growth.