Associate Director, Data and Analytics
INR 2000K-3000K (estimate) Mid-level Full Time
Tasks
- Build production machine learning pipelines
- Conduct A/B testing and statistical validation
- Create and maintain model documentation and technical specifications
- Deploy monitor and retrain AI models
- Design end to end machine learning and AI architectures
- Develop AI products APIs and services
- Develop, train, and validate machine learning models
- Ensure regulatory compliance and fairness
- Establish model governance versioning approval and retirement
- Implement AI guardrails and safety controls
- Implement MLOps and AIOps workflows
- Implement model monitoring for drift and performance
- Integrate generative AI models into applications
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | AWS | Adversarial Attacks | Agentic Systems | Bias detection | Data Drift | Data Processing | Deep learning | Differential Privacy | Embeddings | Encryption | Ensemble Methods | Explainable AI | Fairness metrics | FastAPI | Feature serving | Fine Tuning | Generative AI | Google Cloud | Google Gemini | Langchain | Langgraph | Language Models | Large Language Models | Low Latency | Low Latency Inference | MLOps | Machine Learning | Microsoft Azure | Mistral | Model Governance | Model Monitoring | Model Reproducibility | Model Serving | Model versioning | OpenAI | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Secure Model Serving | Semantic Search | Streaming Data | Streaming data processing | Transfer Learning | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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