Sr. Staff, Data Science & Applied AI
Hyderabad, Office Level 3 & 4, Block A - East Wing, India
INR 2500K-3880K (estimate) Senior-level Full Time
Tasks
- Apply model explainability fairness and compliance
- Automate drift detection and retraining
- Build scalable APIs for ML models
- Communicate results to non-technical stakeholders
- Conduct code reviews and model design sessions
- Create model documentation and audit trails
- Define team KPIs for business impact
- Deploy models to production
- Design model versioning and deployment artifacts
- Design statistical and machine learning models
- Develop deep learning architectures
- Ensure scalability and robustness
- Establish responsible AI governance guardrails
- Implement continuous model optimization
- Integrate models into real time and batch inference pipelines
- Lead AI/ML project lifecycle
- Manage and mentor data science and ML teams
- Monitor model health and performance
- Partner with stakeholders to identify AI use cases
- Present outcomes risks and learnings to steering committees
- Stay aligned with AI regulations
- Translate business problems into data science solutions
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS SageMaker | Amazon Web Services | CI/CD | Cloud platform | Compliance | Computer Vision | Containerization | Customer Segmentation | Data Engineering | Deep learning | Docker | Fairness | Feature Engineering | Forecasting | Generative AI | Google Cloud | Google Cloud Platform | Image analysis | Kubeflow | Kubernetes | Language Processing | MLOps | MLflow | Machine Learning | Model Explainability | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Personalization | Predictive Modeling | PyTorch | Python | Recommender Systems | Responsible AI | Scikit-learn | TensorFlow | Vertex AI | Video Analysis | Web Services
Education
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