AI Engineering I - Marketing
Tasks
- Build AI powered platforms and systems
- Build full stack backend API and frontend components
- Conduct code reviews and knowledge sharing
- Develop AI-driven features and automation
- Embed AI into workflows and products
- Ensure reliability, performance, and security
- Integrate AI into customer facing tools
- Own end-to-end project delivery
- Participate in production support and incident response
- Translate business problems into AI enabled solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Attention Mechanisms | CI/CD | Distributed Systems | Docker | Embeddings | Entity recognition | Feature Engineering | Fine Tuning | GitLab | Kubernetes | Language Processing | Machine Learning | Model Evaluation | NLP | Named Entity Recognition | Natural Language | Natural Language Processing | Python | React | SQL | Semantic Search | Similarity Search | Supervised Learning | Text Classification | Text Embeddings | Tokenization | Transformer | Unsupervised Learning | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
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