AI Engineering I - Marketing
Tasks
- Build AI-driven features and automation
- Collaborate with stakeholders to deliver requirements
- Design AI powered platforms and systems
- Embed AI into products and workflows
- Ensure reliability, performance, and security
- Integrate backend services APIs data and frontend
- Own end-to-end delivery of AI projects
- Participate in code reviews and knowledge sharing
- Perform production support and incident response
- Translate business problems into AI enabled solutions
Perks/Benefits
Skills/Tech-stack
AWS | BERT | CI/CD | Docker | Embeddings | Entity recognition | Feature Engineering | GPT | GitLab | Golang | Kubernetes | Language Models | Large Language Models | Machine Learning | Model Evaluation | NLP | Named Entity Recognition | Python | React | SQL | Semantic Search | Similarity Search | Supervised Learning | Text Classification | Transformer | Unsupervised Learning | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
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