AI Engineer — Digital Transformation
Tasks
- Build and deploy AI agentic workflows
- Build and deploy LLM powered bots
- Build workflow automation pipelines
- Develop BI dashboard data layers
- Develop REST API integrations and webhooks
- Develop and maintain data pipelines
- Develop computer vision super resolution models
- Develop, train, and evaluate machine learning models
- Document model performance data schemas and API contracts
- Implement CI friendly deployment patterns
- Integrate LLM APIs into production workflows
- Participate in architecture reviews
- Set up GPU training pipelines and manage datasets
- Track experiments with MLflow
- Transform and model data using Python
- Write complex SQL queries and design data models
Perks/Benefits
Skills/Tech-stack
Anthropic Claude | Bash | CI/CD | Computer Vision | DBT | DVC | Docker | ESRGAN | FastAPI | Git | GitHub | GitLab | JSON | Jupyter | Linux | MLflow | N8n | NumPy | OAuth | OpenAI | PGVector | Pandas | Pinecone | Prompt engineering | PyTorch | Python | R | RAG | REST API | Real-ESRGAN | Retrieval-Augmented Generation | SQL | SQLAlchemy | Scikit-learn | Super-resolution | TensorFlow | Tool-Calling | Vector Databases | Weaviate | Webhooks
Roles
AI | AI Engineer | Engineer
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