onsite
AI Engineer - Complexio
AI Engineer
Design and implement AI solutions that power an enterprise‑wide knowledge graph and real‑time context broker, leveraging Python, machine learning, NLP, and cloud services to automate hidden tasks across systems.
About the role
Key Responsibilities
- Develop and fine‑tune machine‑learning models for extracting entities, relationships, and intents from unstructured sources such as emails, chats, and spreadsheets.
- Build and maintain the Event Knowledge Graph, integrating structured and unstructured data to create a living map of enterprise processes.
- Design APIs and real‑time pipelines that feed the Context Broker, ensuring seamless synchronization across downstream systems.
- Collaborate with product and engineering teams to translate business requirements into scalable AI components.
- Monitor model performance, implement continuous improvement loops, and ensure compliance with data security and privacy standards.
Requirements
- Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit‑learn.
- Hands‑on experience building NLP pipelines and knowledge‑graph architectures.
- Proven ability to design and operate cloud‑native solutions on AWS (e.g., Lambda, S3, SageMaker, Kinesis).
- Solid understanding of data modeling, graph databases, and real‑time streaming concepts.
- Excellent problem‑solving skills and the ability to work autonomously in a fast‑moving environment.
Skills
pythonmachine learningnatural language processingaws