AI/ML Engineer III
Tasks
- Align product infra legal and UX on responsible ML
- Architect data strategy for reproducibility and quality
- Architect end-to-end AI services and platforms
- Assist in data cleaning feature engineering and testing
- Champion cross-functional collaboration and governance
- Define AI standards and architecture
- Develop and deploy ML modules
- Develop and monitor ML dashboards and alerts
- Develop scalable ML pipelines
- Drive model optimization and governance
- Evaluate and mitigate AI risks
- Integrate deployed solutions with managed platforms
- Lead ML model development from prototyping to deployment
- Lead adoption of emerging ML techniques
- Lead development of scalable ML models and solutions
- Lead strategic AI initiatives
- Oversee multi-team AI projects
- Pilot new ML tools and frameworks
- Run real-time ML models
- Support data pipelines and documentation
- Translate business goals into measurable ML metrics
Perks/Benefits
Skills/Tech-stack
AI Services | API Development | Airflow | Bias detection | Cloud AI | Cloud AI services | Data Engineering | Data Governance | Deep learning | Docker | Git | Kubernetes | MLflow | Machine Learning | Model Deployment | Model Monitoring | NLP | PyTorch | Python | Reproducibility | SQL | Scikit-learn | TensorFlow
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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