AI/ML Engineer
USD 74K-130K Senior-level Full Time
Tasks
- Build data dashboards
- Build data pipelines
- Collaborate with stakeholders
- Create model cards
- Create tutorials and best practices
- Deploy AI/ML models
- Design AI/ML models
- Detect data drift
- Develop AI/ML tools
- Develop RESTful APIs
- Develop knowledge graphs
- Fine-tune models
- Implement model deployment
- Implement model explainability
- Integrate AI ML into cloud architecture
- Monitor model performance
- Participate in agile sprints
- Perform data preprocessing
- Perform feature engineering
- Support model retraining
- Support technical documentation
Perks/Benefits
- 401k
- Dental insurance
- Employee stock ownership plan (ESOP)
- Flexible work schedules
- Holidays
- Life insurance
- Medical insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
AWS | Agile | Azure | Cloud Computing | Containerization | Data Drift | Data Drift Detection | Data Preprocessing | Docker | Drift Detection | Entity recognition | Feature Engineering | Knowledge graphs | Kubernetes | Langchain | Language Processing | Llamaindex | Machine Learning | Model Deployment | Model Explainability | Model Monitoring | Named Entity Recognition | Natural Language | Natural Language Processing | Ontology | PyTorch | Python | RESTful APIs | Semantic Search | TensorFlow | Vector embeddings
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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