AI Engineer II - Marketing
Tasks
- Build full stack systems with backend APIs data layers and frontend
- Collaborate with product engineering and operations to drive adoption
- Design and implement AI driven features and intelligent automation
- Embed AI capabilities into customer products and internal workflows
- Ensure reliability security permissions and auditability for AI platforms
- Lead design and development of AI powered internal platforms
- Mentor 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
- Translate ambiguous business problems into scalable AI enabled solutions
Perks/Benefits
Skills/Tech-stack
AWS | BERT | CI/CD | Docker | Embeddings | Entity recognition | Feature Engineering | Fine Tuning | GPT | Golang | Information Extraction | Kubernetes | LLM | 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 | Transformer | Unsupervised Learning | Vector Databases | Vector similarity | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
Regions
Countries
States
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