AI Engineer II - Marketing
Tasks
- Build full stack systems using backend services APIs data layers and frontend
- Collaborate with cross functional teams to identify high impact opportunities and drive adoption
- Design and implement AI driven features intelligent automation and orchestration
- Embed AI capabilities into customer facing products and internal workflows
- Ensure reliability performance security permissions and auditability
- Lead design development and ownership of AI powered internal platforms
- Mentor AI team members through code reviews and design feedback
- Own end to end delivery from problem discovery to production rollout
- Participate in production support and incident response for owned systems
- Translate ambiguous business needs into scalable AI enabled solutions
Perks/Benefits
Skills/Tech-stack
AWS | CI/CD | Docker | Entity recognition | Feature Engineering | Fine Tuning | GitLab | Information Extraction | Kubernetes | Language Model tools | Language Models | Language Processing | Large Language Model | Large Language Model tools | Large Language Models | Machine Learning | Model Evaluation | Model tools | Named Entity Recognition | Natural Language | Natural Language Processing | PGVector | Pinecone | Prompt engineering | Python | RAG | React | Retrieval-Augmented Generation | SQL | Semantic Search | Similarity Search | Statistical inference | Text Classification | Text Embeddings | Tokenization | Transformer Architecture | Vector embeddings | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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