Project Lead managing a 50 - person AI training team at Keywords Studios. Overseeing performance and process improvements while collaborating across multiple functions and teams.
About the role
- AI Data & Architecture Specialist responsible for optimizing AI data pipelines at Straker. Designing retrieval systems for autonomous AI workforce management in New Zealand.
Responsibilities
- Design and optimize Retrieval-Augmented Generation (RAG) pipelines
- Own the selection and scaling of Vector Databases
- Develop sophisticated metadata schemas to improve search relevance
- Build ETL pipelines that turn messy, unstructured data into 'LLM-ready' formats
- Lead the creation of synthetic datasets for agent training and benchmarking
- Establish rigorous cleaning protocols
- Evaluate and select embedding models for specific domains
- Collaborate on model fine-tuning when off-the-shelf LLMs aren't enough
- Continuously tune hybrid search to optimize performance
Requirements
- Expert-level Python and SQL
- Experience with orchestration tools like Airflow or Dagster
- Deep experience with Vector DBs and similarity search algorithms (HNSW, IVF)
- A strong grip on tokenization, embeddings, and semantic chunking
- Experience managing large-scale data on AWS, GCP, or Azure
- Experience with Graph Databases (e.g., Neo4j) for relationship mapping
- A background in Information Retrieval (IR) or Library Science
- Familiarity with AI data privacy frameworks (GDPR/NZ Privacy Act)
Benefits
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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