AI/ML Engineering Lead/(Gen AI,Python,LLM,ETL)Associate Director
Tasks
- Define engineering standards and governance
- Design data pipelines
- Embed security-by-design
- Enforce engineering best practices
- Ensure data quality and governance
- Implement MLOps lifecycle
- Implement compliance controls
- Lead AI ML engineering delivery
- Own AI ML platform architecture
- Perform model evaluation
- Run production operations
- Set up CI/CD pipelines
- Translate use cases into requirements
Perks/Benefits
- Continuous professional development
- Flexible working
- Inclusive work culture
- Opportunities for growth
Skills/Tech-stack
Apache Airflow | Apache Beam | Auditability | Automated testing | CI/CD | Calibration | Cause analysis | Cloud Storage | Cloud platform | Confusion matrix | Data Governance | Data Lineage | Data Privacy | Dataflow | Deployment | Encryption | FalkorDB | GCP BigQuery | Google Cloud | Google Cloud Platform | Graph Databases | Hybrid search | IAM | Incident Management | LLM orchestration | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Model Evaluation | Model Monitoring | PGVector | PR AUC | PostgreSQL | Precision Recall F1 | Precision-recall | Prompt engineering | PubSub | Python | RAG | ROC-AUC | Redis | Rollback | Root Cause Analysis | Root cause | SLO | Secrets management | Vector Search
Education
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