AI Engineer, Assistant Vice President
Tasks
- Align solutions with enterprise compliance and audit requirements
- Apply data privacy and security controls
- Build agent based AI workflows
- Build and maintain AI services and APIs
- Deliver intelligent document processing and AI copilots
- Design build and deploy production AI and ML solutions
- Develop LLM-based applications
- Develop embeddings and vector retrieval systems
- Ensure data readiness for AI use cases
- Implement MLOps and LLMOps practices
- Implement data transformation and quality for AI
- Implement rag pipelines
- Improve validation explainability and hallucination mitigation
- Integrate AI solutions with Databricks Snowflake and cloud platforms
- Monitor evaluate and log models
- Optimize systems for performance scalability and cost
- Translate business problems into deployable AI solutions
Perks/Benefits
- Additional holidays
- Hybrid work model
- Language classes
- Life insurance
- Medical package
- Paid volunteer days
- Permanent contract
- Private pension
- Training and development programs
- Well-being programs
Skills/Tech-stack
AWS | Agentic Workflows | Azure | Cloud Computing | Data Privacy | Data Transformation | Data integration | Databricks | Embeddings | Generative AI | Hallucination mitigation | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model Evaluation | Model Governance | Model Monitoring | Model versioning | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | Semantic Search | Snowflake | Vector Search
Education
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