Manager, AI Engineering
Bangalore, Karnataka, India
INR 1800K-3000K (estimate) Mid-level Full Time
Tasks
- Architect AI/ML systems
- Collaborate with business product and engineering stakeholders
- Define AI project lifecycles
- Deploy AI models to production
- Drive AI product roadmaps
- Establish AI best practices
- Govern AI model governance
- Implement MLOps and LLMOps
- Lead AI and Data science teams
- Manage prompt engineering and fine tuning
- Set up model monitoring and drift detection
- Support solution trade offs and architecture decisions
Perks/Benefits
- N/A
Skills/Tech-stack
API | Agent Orchestration | Agentic AI | Automated retraining | BigQuery | CI/CD | Cloud Storage | Cloud platform | Compliance | Computer Vision | Dataflow | Deep learning | Docker | Drift Detection | Ensemble learning | Fairness | Git | Google Cloud | Google Cloud Platform | Keras | LLMOps | Language Processing | MLOps | Machine Learning | Machine Learning Drift Detection | Model Evaluation | Model Explainability | Model versioning | Modular Design | Monitoring | Multi-Agent | Multi-agent orchestration | Natural Language | Natural Language Processing | Neural Networks | Observability | Prompt engineering | PyTorch | Python | Regression | Responsible AI | Retrieval-Augmented Generation | Simulation optimization | TensorFlow | Testing | Vertex AI
Education
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