AI Engineer II - Marketing
Tasks
- Build full stack systems with backend services APIs data layers and frontend interfaces
- Collaborate with Product, Engineering, and Operations to identify high-impact opportunities
- Design and implement AI driven features and intelligent automation
- Embed AI capabilities into customer facing products and internal workflows
- Ensure reliability performance security permissions and auditability
- Lead design and development of AI powered internal platforms and systems
- Mentor team members through code reviews and design feedback
- Own end to end delivery from problem discovery to production rollout
- Provide production support and incident response for owned systems
- Translate ambiguous business problems into scalable AI enabled solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Attention Mechanisms | CI/CD | Docker | Embeddings | Entity recognition | Feature Engineering | Fine Tuning | GitLab | Golang | Information Extraction | Kubernetes | LLM | Machine Learning | Model Evaluation | NLP | Named Entity Recognition | PGVector | Pinecone | Prompt engineering | Python | RAG | React | Retrieval-Augmented Generation | SQL | Semantic Search | Similarity Search | Statistical inference | Supervised Learning | Text Classification | Text Embeddings | Tokenization | Transformer Architectures | Unsupervised Learning | Vector Databases | Weaviate
Education
N/A
Roles
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