Data & Analytics Cloud Manager/Architect
Tasks
- Architect end to end AI ML and GenAI systems
- Build robust AI systems and ML platforms
- Define and govern AI project lifecycles
- Deploy AI models using containerization and orchestration
- Drive knowledge sharing and communities of practice
- Establish MLOps and LLMOps best practices
- Implement agentic AI frameworks and multi agent orchestration
- Implement retrieval augmented generation systems
- Lead design development deployment scaling of AI ML solutions
- Lead mentoring and team development for AI engineers and data scientists
- Lead responsible AI governance
- Partner with business stakeholders to define AI roadmaps and success metrics
- Set up model monitoring and drift detection
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Automated retraining | BigQuery | CI/CD | Cloud AI | Cloud Architecture | Cloud Storage | Computer Vision | Dataflow | Deep learning | Docker | Ensemble learning | Fairness | Fine Tuning | Git | Keras | LLM | LLMOps | Language Processing | MLOps | Machine Learning | Model Evaluation | Model Explainability | Model versioning | Monitoring | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Regression | Responsible AI | Retrieval-Augmented Generation | TensorFlow | Vertex AI
Education
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