AI Engineering I - Marketing
Tasks
- Build AI-driven features and automation
- Build full stack components with backend APIs data and frontend
- Collaborate with stakeholders to deliver solutions
- Deliver end-to-end AI projects
- Design AI powered platforms and systems
- Embed AI capabilities into workflows and products
- Ensure reliability, performance, and security
- Integrate AI into customer facing products and internal tools
- Perform code reviews and knowledge sharing
- Provide production support and incident response
- Translate business problems into AI enabled solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Attention Mechanisms | BERT | CI/CD | Claude | Distributed Systems | Docker | Embeddings | Entity recognition | Feature Engineering | Fine Tuning | GPT | GitLab | Kubernetes | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | NLP | Named Entity Recognition | Natural Language | Natural Language Processing | Python | React | SQL | Similarity Search | Supervised Learning | Text Classification | Tokenization | Transformer Architectures | Unsupervised Learning | Vector Databases | Vector similarity | Vector similarity search
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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