Senior Director, Engineering – Data, ML & AI
Tasks
- Architect scalable data platforms
- Build and mentor data ml ai engineering teams
- Build genai rag and agent solutions
- Champion ai development life cycle
- Define data ml and ai roadmap
- Drive delivery in fast-paced environment
- Enable ai native iterative delivery
- Ensure reliability observability security and data quality
- Establish metrics and operating rhythms
- Implement MLOps and LLMOps
- Lead ai ml platform buildout
- Own budgets vendor relationships and technology choices
- Partner with product data science security stakeholders
Perks/Benefits
- Continuous learning
- Hybrid work
- Leadership development
- Paid time off
- Professional certifications
- Quarterly perks program
Skills/Tech-stack
AWS | Apache Flink | Apache Hudi | Apache Iceberg | Apache Kafka | Apache Spark | Artificial Intelligence | CI/CD | Databricks | Delta Lake | Distributed Systems | Feature Stores | GenAI | Google BigQuery | Google Cloud | Infrastructure as Code | Kubernetes | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Microsoft Azure | Model Deployment | Model Evaluation | Model Training | RAG | Retrieval-Augmented Generation | Snowflake | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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