Lead AI Engineer
Tasks
- Build AI risk detection pipeline
- Collaborate with engineering and product teams
- Define analytics and data science strategy
- Deploy and monitor llm in production
- Design and validate analytical models
- Develop production-grade machine learning systems
- Ensure data privacy security and ethical standards
- Integrate LLM solutions into enterprise workflows
- Lead data science projects from design to deployment
- Maintain and enhance risk detection models
- Mentor data scientists and review code
- Present insights to technical and non-technical audiences
- Scale and optimize LLM cost
- Translate business goals into model KPIs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Airflow | Data Mining | Data Privacy | Data Security | Data Visualization | Deep learning | Docker | Entity recognition | Event Detection | Gen AI | Information Retrieval | Knowledge graphs | Kubernetes | LLM | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Multilingual Modeling | NLP | Natural Language | Natural Language Processing | OpenAI | Prompt engineering | Python | SQL | Text Mining | Vector Databases | Web data | Web data mining
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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