BCG Senior Manager
2 weeks ago
Key Responsibilities
- Lead the development and implementation of complex technology solutions with a strong technical background, preferably in a global organization or enterprise.
- Drive the experimentation and development of LLMs, with a focus on production use cases.
- Oversee the management of enterprise-scale software engineering and platform engineering teams.
- Develop and maintain a strong understanding of CI/CD, AI/ML pipelines, and automation tools.
Requirements
- Strong knowledge and experience in Generative AI/LLM based development.
- Experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex).
- Proficiency in developing enterprise-grade, secure data ingestion pipelines for unstructured data, including indexing, search, and advanced retrieval patterns.
- Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets.
- Proficiency in generating and working with text embeddings with an understanding of embedding spaces and their applications in semantic search and information retrieval.
- Experience with building knowledge graphs in production.
- Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), and expertise in implementing RAG systems that combine knowledge bases with Generative AI models.
- Knowledge of training and finetuning Foundation Models, including multimodal inputs and outputs.
- Proficiency in Python, TypeScript, NodeJS, ReactJS, and all associated GenAI libraries and frameworks.
- Experience with containerization and orchestration technologies (Kubernetes, Docker).
- Proficiency in cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform).
Nice to Have
- Experience with LLM guardrails.
- Experience with security related to LLM integration.
- Experience in LLM testing and evaluation.
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