ML & AI Engineer II
Tasks
- Build data pipelines
- Deploy machine learning models
- Design machine learning models
- Develop AI services
- Develop agentic AI solutions
- Develop classification solutions
- Develop forecasting solutions
- Develop generative AI solutions
- Develop natural language processing solutions
- Implement model governance
- Integrate AI via APIs
- Monitor machine learning models
- Optimize model performance
- Support enterprise AI deployments
Perks/Benefits
- Career growth opportunities
- Continuous learning
- Flexible work arrangement
- Hybrid work arrangement
- Inclusive work environment
Skills/Tech-stack
APIs | AWS | Agentic AI | Azure | Cloud Computing | Computer Vision | Data Pipelines | Deep learning | GCP | Generative AI | Language Processing | Machine Learning | Model Governance | Model Monitoring | Natural Language | Natural Language Processing | Python | SQL
Education
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