AI Engineer II - Marketing
Tasks
- Build full stack systems with backend APIs data layers and frontend interfaces
- Collaborate with engineering and stakeholders to drive adoption
- Embed AI into customer products and workflows
- Ensure reliability performance security and auditability
- Implement AI-driven features and automation
- Lead design and development of AI internal platforms
- Mentor engineers through code reviews and design feedback
- Own end-to-end delivery of AI projects
- Support production systems and respond to incidents
- Translate business problems into scalable AI solutions
Perks/Benefits
Skills/Tech-stack
AWS | BERT | CI/CD | Docker | Embeddings | Entity recognition | Feature Engineering | Fine Tuning | GPT | GitLab | Golang | Information Extraction | Kubernetes | Language Models | Large Language Models | Machine Learning | Model Evaluation | NLP | Named Entity Recognition | PGVector | Pinecone | Prompt engineering | Python | React | Retrieval-Augmented Generation | SQL | Semantic Search | Similarity Search | Statistical inference | Supervised Learning | Text Classification | Text Embeddings | Tokenization | Transformers | Unsupervised Learning | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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