AI Developer
Tasks
- Apply AIOps practices
- Assess and mitigate technical risks
- Collaborate with cross-functional teams
- Communicate progress to stakeholders
- Deploy models using cloud and containerization
- Design AI models
- Document workflows and code
- Implement generative AI platforms
- Manage MLOps pipelines
- Monitor model performance
- Perform additional duties as needed
- Perform data preprocessing and analysis
- Prototype proof-of-concept solutions
- Stay current with industry trends
- Train and fine-tune ML models
Perks/Benefits
Skills/Tech-stack
AI | Agile methodologies | Algorithms | Azure Cloud | CI/CD | Cloud Platforms | Computer Vision | Data Science | Docker | Ethical AI | Generative AI | Knowledge graph | Kubernetes | LLMs | Langchain | Language Processing | ML | MLOps | Model Deployment | Model Interpretability | Natural Language | Natural Language Processing | OpenCV | PyTorch | Python | Scikit-learn | Software Engineering | TensorFlow | Vector Databases
Education
Roles
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