Applied AI/ML Engineer
Tasks
- Analyze opportunities to improve AI performance and personalization
- Build NLP pipelines to extract intent entities and semantic structure
- Design and develop assistive AI technology for interactive 3D workflows
- Design and maintain knowledge graphs for world character and story data
- Fine tune or augment foundation models for domain specific tasks
- Integrate cloud and client LLMs for creative workflows
- Prototype AI features with product and engineering teams
Perks/Benefits
Skills/Tech-stack
Agentic Systems | Cloud Computing | Containerization | Data Storage | Data storage and retrieval | Evaluation metrics | Graph Databases | Infrastructure as Code | Knowledge graphs | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Neo4j | PyTorch | Python | RDF | Storage and retrieval | TensorFlow | Transformers | Vector Databases | “as-code”
Education
N/A
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