
Gen AI Manager
2 days ago
Role & responsibilities
- Lead the development of Generative AI models using frameworks like Hugging Face Transformers, LangChain, and LlamaIndex.
- Architect and manage multi-modal AI systems integrating text, image, and structured data inputs.
- Implement and optimize LLM agents, retrieval-augmented generation (RAG), and vector database integrations.
- Utilize Google Cloud services such as Vertex AI, BigQuery, Cloud Storage, and AI Platform for scalable model deployment.
- Collaborate with cross-functional teams to align GenAI solutions with business goals and product strategies.
- Ensure scalability, performance, and security of deployed AI systems.
- Mentor and guide ML engineers and data scientists in GenAI best practices.
- Manage project timelines, budgets, and stakeholder expectations effectively.
Preferred candidate profile
- Bachelors or Masters degree in Computer Science, AI, Data Science, or related field.
- Minimum 6 years of experience in AI/ML, with at least 2 years in Generative AI.
- Strong hands-on experience with LLMs, transformers, LangChain, LlamaIndex, and vector databases.
- Proficiency in Python, TensorFlow, PyTorch, and data manipulation tools like Pandas and NumPy.
- Experience with Google Cloud services and MLOps pipelines.
- Excellent communication, leadership, and stakeholder management skills.
- Experience in product management or leading GenAI product development cycles.
- Familiarity with multi-agent architectures, cache databases, and AI-specific utilities.
- Exposure to enterprise-scale AI deployments and automotive domain.
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